Agent skill

Pp Philonet

by mvanhorn in mvanhorn/printing-press-library

Your Philonet reading life in the terminal: feed, threads, streaks and friends, plus a local history the web app does not keep.

Apache-2.0Auto-check: notes

Install Pp Philonet

skills CLI
$ npx skills add mvanhorn/printing-press-library --skill pp-philonet -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mvanhorn/printing-press-library pp-philonet --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-skills/pp-philonet .claude/skills/pp-philonet && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pp-philonet
GitHub stars
2.1k
Token cost
~8.7k tokens
SKILL.md length
3,726 words
Files
1
Skills in repo
506
Repo updated
First seen
Licence
Apache-2.0

At a glance

Your Philonet reading life in the terminal: feed, threads, streaks and friends, plus a local history the web app does not keep.

  • Works in 6 steps: recall before any discovery → decision tree → always read warnings → …
  • Phrases: check my philonet
  • SKILL.md covers Prerequisites: Install the CLI, When to Use This CLI, Anti-triggers and Unique Capabilities, plus 8 more sections
  • Calls go, claude and npx; needs PHILONET_TOKEN

What it does

Pp Philonet is an agent skill from mvanhorn/printing-press-library. Your Philonet reading life in the terminal: feed, threads, streaks and friends, plus a local history the web app does not keep. Trigger phrases: check my philonet, what are my friends reading on philonet, philonet reading streak, search philonet for, post a thought on philonet, invite a friend to think on philonet, use philonet, run philonet.

Its SKILL.md is about 8.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Official library of CLIs generated by the CLI Printing Press. Endorsed, tested, and community-contributed. The licence is Apache-2.0.

When your agent uses it

  • Phrases: check my philonet
  • What are my friends reading on philonet
  • Philonet reading streak
  • Search philonet for

Example prompts

  • “/pp-philonet”

Requirements

  • Node.js
  • Pre-approved tools (allowed-tools): Read, Bash

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. recall before any discovery
  2. decision tree
  3. always read warnings
  4. teach & after finalizing your response - always
  5. playbooks - optional flags, automatic synthesis
  6. playbook amend & when your debug response identifies a correction

What it can do on your machine

Read from SKILL.md and the folder at commit d9a1696. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • go
    • claude
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • PHILONET_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pp Philonet loads about 8.7k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 3,726 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
When it runs · the whole SKILL.md, loaded when a task matches
~8.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mvanhorn/printing-press-library at commit d9a1696, republished under its Apache-2.0 licence (© mvanhorn). 3,726 words, ~8,718 tokens.

Download SKILL.mdSave it as .claude/skills/pp-philonet/SKILL.md (or your agent's skills folder).
name
pp-philonet
description
Your Philonet reading life in the terminal: feed, threads, streaks and friends, plus a local history the web app does not keep. Trigger phrases: `check my philonet`, `what are my friends reading on philonet`, `philonet reading streak`, `search philonet for`, `post a thought on philonet`, `invite a friend to think on philonet`, `use philonet`, `run philonet`.
allowed-tools
Read, Bash
author
Som Samantray
license
Apache-2.0
argument-hint
<command> [args] | install cli|mcp
<!-- GENERATED FILE — DO NOT EDIT.
     This file is a verbatim mirror of library/social-and-messaging/philonet/SKILL.md,
     regenerated post-merge by tools/generate-skills/. Hand-edits here are
     silently overwritten on the next regen. Edit the library/ source instead.
     See the repository agent guide, section "Generated artifacts: registry.json, cli-skills/". -->

Philonet — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the philonet-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:

  1. Install via the Printing Press installer. It defaults binaries to $HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows:
    bash
    npx -y @mvanhorn/printing-press-library install philonet --cli-only
  2. Verify: philonet-pp-cli --version
  3. Ensure the reported install directory is on $PATH for the agent/runtime that will invoke this skill.

If the npx install fails (no Node, offline, etc.), fall back to a direct Go install (requires Go 1.26.6 or newer). This installs into $GOPATH/bin (default $HOME/go/bin), so add that directory to $PATH instead:

bash
go install github.com/mvanhorn/printing-press-library/library/social-and-messaging/philonet/cmd/philonet-pp-cli@latest

If --version reports "command not found" after install, the runtime cannot see the binary directory on $PATH. Do not proceed with skill commands until verification succeeds.

Philonet has no public API, so this CLI replays the web app's own backend calls with your token. Run today for a morning snapshot, rhythm to build up reading history, and digest or owed to catch up on friends and unanswered replies. It can also post, react, send friend requests and invite people; every write supports --dry-run.

When to Use This CLI

Use for reading or checking a user's Philonet feed, search, threads, stats, friends and notifications, for local analysis of data this CLI has stored, and for explicitly requested actions: posting a thought or reply, reacting, sending a friend request or inviting someone. Write commands act on the user's real account, so run them with --dry-run first and send only after the user confirms. Good for morning briefings and weekly recaps.

Anti-triggers

Do not use this CLI for:

  • Posting, replying, reacting, friend-requesting or inviting unless the user explicitly asked for that exact action
  • Other social platforms (Twitter/X, LinkedIn, Reddit)
  • Reading another person's private data
  • Anything needing an official, stable API; this is an unofficial client of an undocumented backend

Unique Capabilities

These capabilities aren't available in any other tool for this API.

Daily habit
  • today — One snapshot of your streak, reading time, friends thinking now, unread counts and pending requests.

    Reach for this first when an agent needs a morning status of the user's Philonet reading habit.

    bash
    philonet-pp-cli today --agent
  • rhythm — Weekly and monthly reading minutes, longest streak and rank-vs-friends trend, accumulated from your own runs (history starts at the first run).

    Use for recap or goal questions over time, not live status.

    bash
    philonet-pp-cli rhythm --weeks 4 --agent
Conversations
  • digest — Friends' thoughts this CLI first saw recently, grouped by friend; 'recently' is relative to when the CLI saw them.

    Catch up on friends' takes without scrolling the feed.

    bash
    philonet-pp-cli digest --since 24h --agent
  • owed — Threads among your recent thoughts where someone replied and you have not answered yet.

    Use to find conversations waiting on the user.

    bash
    philonet-pp-cli owed --agent
  • resonance — Which of your thoughts earned stars and insightful reactions, by tag and week.

    Tell the user what kind of thoughts land with people.

    bash
    philonet-pp-cli resonance --by week --agent
Discovery
  • voices — Rank people from your stored For You feed cards by thoughts on a topic, filtered by alma mater or employer badge.

    Find credentialed voices on a topic when the web search cannot filter by badge.

    bash
    philonet-pp-cli voices --topic ai --badge professional --agent
  • queue — Read-later and bookmarks that fit your free minutes (items with unknown length are dropped unless --include-unknown), flagged when discussed.

    Pick what to read next given available time.

    bash
    philonet-pp-cli queue --fits 10 --agent

Data sources and limits

  • today, owed, queue and resonance read live endpoints only. They reject --data-source local with a clear error.
  • rhythm, digest and voices keep account-keyed history in a per-account local file. By default they refresh from the API first. --no-refresh or --data-source local reads stored history without any API call (a token is still needed to identify the account). --data-source live always refreshes and fails instead of serving stored data; it conflicts with --no-refresh.
  • History is keyed by the account in the token, so switching tokens never mixes history and a refreshed token keeps it. History saved by an earlier build at the previous default location is imported into the per-account file once. rhythm history starts at your first run because Philonet only reports the last week.
  • This is an unofficial client of an undocumented API; endpoints can change without notice.

Discovery Signals

This CLI was generated with browser-observed traffic context.

  • Capture coverage: 38 API entries from 38 total network entries
  • Protocols: rest_json (75% confidence)
  • Auth signals: chrome_devtools_session
  • Candidate command ideas: create_article — Derived from observed POST /v1/room/article traffic.; create_articles — Derived from observed POST /v1/room/search/articles traffic.; create_inboxnew — Derived from observed POST /v1/room/conversation/inboxnew traffic.; create_mainprofilenew — Derived from observed POST /v1/room/mainprofilenew traffic.; create_people — Derived from observed POST /v1/room/search/people traffic.; create_room — Derived from observed POST /v1/room/{room_id} traffic.; create_thoughts — Derived from observed POST /v1/room/search/thoughts traffic.; get_comments — Derived from observed GET /v1/room/articles/{article_id}/comments/{comment_id} traffic.

Command Reference

blog — Public blog

  • philonet-pp-cli blog — Philonet public blog posts (no auth needed)

feed — Article and thought feeds

  • philonet-pp-cli feed for-me — Personalized 'For You' / friends feed (feed2 engine). filter=forme|friends
  • philonet-pp-cli feed moment — Featured 'moment' card
  • philonet-pp-cli feed suggested — Suggested curiosity-session feed
  • philonet-pp-cli feed unified — Unified feed. filter=discover|friends

find — Live search across articles, thoughts and people

  • philonet-pp-cli find articles — Search articles (POST body: query, sort_by, limit, offset)
  • philonet-pp-cli find people — Search people
  • philonet-pp-cli find thoughts — Search thoughts/comments

friends — Friends, requests and activity

  • philonet-pp-cli friends requests — Friend requests (type=received|sent|all)
  • philonet-pp-cli friends requests-preview — Friend requests preview
  • philonet-pp-cli friends respond — Accept or decline a friend request (action=accept|decline)
  • philonet-pp-cli friends send-request — Send a friend request
  • philonet-pp-cli friends stories — Friends activity as stories
  • philonet-pp-cli friends thinking — Friends/contacts thinking list with presence
  • philonet-pp-cli friends top — Top friends
  • philonet-pp-cli friends withdraw — Withdraw a sent friend request

inbox — Notifications, unread counts, discussions and DMs

  • philonet-pp-cli inbox activity — Notifications / activity log
  • philonet-pp-cli inbox discussions — Discussions inbox (POST, read-only)
  • philonet-pp-cli inbox dms — Direct-message conversations
  • philonet-pp-cli inbox invitations — Space invitations
  • philonet-pp-cli inbox unread — Unread counters (notifications, invitations, total)
  • philonet-pp-cli inbox unread-conversations — Unread discussion counters

invite — Invite people to think about an article

  • philonet-pp-cli invite send — Invite a user to share thoughts on an article
  • philonet-pp-cli invite users — Search users to invite

me — Your profile, reading stats and saved items

  • philonet-pp-cli me awards — Awards/stars received
  • philonet-pp-cli me badge — Verification / top-learner badge for a user
  • philonet-pp-cli me bookmarks — Bookmarked thoughts
  • philonet-pp-cli me engagements — My engagements
  • philonet-pp-cli me metrics — My verified categories, stars, streak
  • philonet-pp-cli me onboarding — Onboarding state and interests
  • philonet-pp-cli me profile — Full profile for a user (POST, read-only)
  • philonet-pp-cli me profile-stats — Streak and reading totals for a user
  • philonet-pp-cli me read-later — Read-later saved articles
  • philonet-pp-cli me reading-stats — My reading stats: last 7 days, goals, personal bests
  • philonet-pp-cli me spotlights — Spotlights
  • philonet-pp-cli me standings — Friends thinking-time leaderboard
  • philonet-pp-cli me thoughts — A user's thoughts (paged)

post — Post thoughts and replies (write actions)

  • philonet-pp-cli post link — Add a link as an article so you can post a thought on it
  • philonet-pp-cli post reply — Reply to a thought
  • philonet-pp-cli post thought — Post a thought (comment) on an article by article id

react — Star and bookmark thoughts (write actions)

  • philonet-pp-cli react bookmark — Toggle bookmark on a thought
  • philonet-pp-cli react star — Star a thought

thread — Articles and thought threads

  • philonet-pp-cli thread article — Get article detail, members and people (POST, read-only)
  • philonet-pp-cli thread get — Get one thought (comment) with article context and star quota
  • philonet-pp-cli thread impact — Reader impact stats for an article
  • philonet-pp-cli thread replies — List replies in a thought thread (POST, read-only)
Finding the right command

When you know what you want to do but not which command does it, ask the CLI directly:

bash
philonet-pp-cli which "<capability in your own words>"

which resolves a natural-language capability query to the best matching command from this CLI's curated feature index. Exit code 0 means at least one match; exit code 2 means no confident match — fall back to --help or use a narrower query. --json (and other machine formats) keep that exit-2 contract and write {"matches":[]} on stdout so agents can inspect the envelope without treating a miss as success.

Recipes

Morning briefing
bash
philonet-pp-cli today --agent

Streak, unread and friends reading now in one record.

Compact feed scan
bash
philonet-pp-cli feed for-me --agent --select article.title,article.reading_time.text,conversation_starters.content

Narrows large feed cards to titles, read time and top thought.

Catch up on friends
bash
philonet-pp-cli digest --since 24h --agent

Friends' thoughts this CLI first saw in the last day; the first run treats the whole feed as new.

Pick something to read
bash
philonet-pp-cli queue --fits 10 --agent

Saved items that fit ten minutes.

Post a thought
bash
philonet-pp-cli post thought --article-id 29018 --content "Interesting take" --dry-run

Preview the request first; removing --dry-run sends a real post to the user's account, so only do it after they confirm.

Auth Setup

Philonet uses a bearer JWT held in your browser. Copy the accessToken from philonet.ai (DevTools > Application > Local Storage) and run 'philonet-pp-cli auth set-token' (or export PHILONET_TOKEN); 'auth status' shows what is configured and 'auth logout' clears it. The token lasts about six months. Philonet is an unofficial client of an undocumented API and can change without notice.

Run philonet-pp-cli doctor to verify setup.

Agent Mode

Add --agent to any command. Expands to: --json --compact --no-input --no-color.

Global format flags share one contract on promoted, novel, sync, and --deliver paths:

  • --json — one JSON document on stdout (sync progress events go to stderr)

  • --compact — keep identity/status/timestamp fields; does not change the document vs stream shape

  • --csv / --plain — tabular rows (collection envelopes unwrap to the row array)

  • --quiet — one identity value per row, no envelope

  • Pipeable — JSON on stdout, errors on stderr

  • Filterable — --select keeps a subset of fields. Dotted paths descend into nested structures; arrays traverse element-wise. Critical for keeping context small on verbose APIs:

    bash
    philonet-pp-cli blog --agent --select articleId,author,contentUrl
  • Previewable — --dry-run shows the request without sending

  • Offline-friendly — sync/search commands can use the local SQLite store when available

  • Non-interactive — never prompts, every input is a flag

  • Explicit confirmation — --agent does not imply --yes; pass --yes separately only after the target, arguments, and side effects are clear

  • Explicit retries — use --idempotent only when an already-existing create should count as success, and use --ignore-missing only when a missing delete target should count as success

Response envelope

Commands that read from the local store or the API wrap output in a provenance envelope:

json
{
  "meta": {"source": "live" | "local", "synced_at": "...", "reason": "..."},
  "results": <data>
}

Parse .results for data and .meta.source to know whether it's live or local. A human-readable N results (live) summary is printed to stderr only when stdout is a terminal AND no machine-format flag (--json, --csv, --compact, --quiet, --plain, --select) is set — piped/agent consumers and explicit-format runs get pure JSON on stdout.

Paths and state

Agents should treat the CLI's path resolver as part of the runtime contract:

  • Use --home <dir> for one invocation, or set PHILONET_HOME=<dir> to relocate all four path kinds under one root.

  • Use per-kind env vars only when a specific kind must diverge: PHILONET_CONFIG_DIR, PHILONET_DATA_DIR, PHILONET_STATE_DIR, PHILONET_CACHE_DIR.

  • Resolution order is per-kind env var, --home, PHILONET_HOME, XDG (XDG_CONFIG_HOME, XDG_DATA_HOME, XDG_STATE_HOME, XDG_CACHE_HOME), then platform defaults.

  • config contains settings like config.toml and profiles. data contains credentials.toml, data.db, cookies, and auth sidecars. state contains persisted queries, jobs, and teach.log. cache contains regenerable HTTP/cache files.

  • Stored secrets live in credentials.toml under the data dir. Existing legacy config.toml secrets are read for compatibility and leave config.toml on the first auth write.

  • Run philonet-pp-cli doctor --fail-on warn to surface path and credential-location warnings. agent-context exposes a schema v4 paths block for agents that need the resolved dirs.

  • For MCP, pass relocation through the MCP host config. The MCP binary does not inherit CLI flags:

    json
    {
      "mcpServers": {
        "philonet": {
          "command": "philonet-pp-mcp",
          "env": {
            "PHILONET_HOME": "/srv/philonet"
          }
        }
      }
    }

Fleet precedence: an inherited per-kind env var overrides an explicit --home for that kind. Use PHILONET_HOME or per-kind vars as durable fleet levers, and use --home only for a single invocation. Relocation is not reversible by unsetting env vars; move files manually before clearing PHILONET_HOME, or doctor will not find credentials left under the former root.

Automatic learning

This CLI ships a self-capturing learning loop. The CLI does its own bookkeeping: every invocation is journaled locally, a failed flag followed by a corrected retry auto-derives a flag_alias candidate, and a teach on a query family without a playbook auto-synthesizes a playbook_candidate from the session's journal. Your job is judgment only: recall first, act on surfaced candidates, teach the final answer, playbook amend when you observe a correction. You never record failures by hand.

Step 1: recall before any discovery

Before list/search/drill commands on a new user question, pass the question as an argv or MCP tool argument to recall --agent. Do not interpolate user-controlled text into a shell command line.

Quoted recall "<question>" breaks on an apostrophe, which is ordinary English. A quoted heredoc breaks when a body line equals the delimiter, and that delimiter is published in these docs. Write the question with a non-shell file-writing tool, then read it back as data:

bash
# Write the question verbatim with your file-writing tool (no shell involved).
# Command substitution on a file only ever yields data — the shell never
# parses the file's bytes as syntax.
QUERY=$(cat /path/to/question.txt)
philonet-pp-cli recall "$QUERY" --agent

Prefer MCP: pass the question as the tool's query argument. "$QUERY" after a file read is argv-safe; putting the question itself in the command text is not.

The response envelope:

json
{
  "query": "...",
  "normalized": "<normalized form>",
  "query_entities": ["..."],
  "found": true | false,
  "match_score": 0.0,
  "results": [
    { "resource_id": "...", "resource_type": "...", "venue": "...",
      "confidence": 2, "entity_match": "exact|partial|unknown",
      "source": "taught|preseed|pattern", "warnings": ["..."] }
  ],
  "mismatches": [ /* only when --debug-mismatches */ ],
  "warnings": [ /* top-level */ ],
  "candidates": [
    { "id": 12, "class": "flag_alias | playbook_candidate",
      "summary": "...", "sightings": 3, "last_seen": "...",
      "rationale": "...",
      "next_action": ["<trial command>", "philonet-pp-cli learnings confirm 12"] }
  ],
  "playbook": {
    "query_family": "...",
    "playbook": {
      "steps": [ { "cmd": "<command with {slot} substitution>", "purpose": "..." } ],
      "entity_slots": ["$ENTITY"],
      "expected_tool_calls": 3
    },
    "slots_resolved": { "$ENTITY": { "token": "<live token>", "canonical": "<canonical>" } },
    "notes": "<workarounds + gotchas for this query family>"
  },
  "notes": "<duplicate surface for non-playbook callers>"
}

Empty-store short-circuit: if the store has no learnings, playbooks, or candidates yet (recall finds nothing and learnings list and learnings candidates are both empty), skip recall for the rest of this session instead of taxing every query; resume recall-first once something has been taught.

Step 2: decision tree

Read candidates, playbook, notes, results[0], and warnings in that order:

if Candidates present (warnings include "candidates_present"):
    -> candidates are try-then-confirm, never facts. Follow each candidate's
       two-step next_action verbatim: run the trial command first, then run
       `learnings confirm <id>` only after the trial verified the behavior.
       Reject a wrong candidate with `learnings reject <id>`.
    -> NEVER re-teach something recall surfaced as a candidate; confirm or
       reject that candidate instead of teaching a duplicate.
    -> candidates ride alongside playbooks and resource hits, not instead of
       them; continue with the branches below after acting on them.

if Playbook present:
    -> READ Playbook.notes verbatim FIRST (workarounds + gotchas the CLI surface doesn't expose)
    -> replay Playbook.steps in order, substituting Playbook.slots_resolved entries
       for the entity slot tokens. If a step's slot is unresolved, fall back to
       discovery for that step only.
    -> the Playbook's expected_tool_calls is a budget; if you find yourself running
       materially more, record the divergence via `philonet-pp-cli playbook amend`
       at end-of-session.

elif Notes present (no Playbook):
    -> read Notes verbatim before any discovery step; they carry known gotchas
       for this query family even when no structured choreography exists yet.

elif Found AND Results[0].EntityMatch == "exact" AND Results[0].Confidence >= 2:
    -> skip discovery; fetch live data for Results[*].ResourceID in parallel

elif Found AND Results[0].EntityMatch == "partial":
    -> candidate hint, NOT a hit; read the resource title to validate before trusting

elif (any row in Mismatches[] when --debug-mismatches was passed):
    -> treat as cold start; the stored learning is for a different entity
       (different canonical resolved from query_entities)

else:  // Found == false, no playbook, no notes
    -> cold start; run discovery normally; teach the answer afterward (Step 4).
       If the family has no playbook yet, that teach auto-synthesizes a
       playbook candidate from this session's journal - you do not need to
       record one by hand.

Playbook and Notes are orthogonal to the per-resource path. A recall response can carry both a Playbook AND a Results[] hit - use both: the Playbook tells you which choreography to run; the resource hits short-circuit specific steps. Default to skipping mismatches; pass --debug-mismatches only when investigating cold-start surprises.

Candidate judgment details: learnings confirm <id> prints the candidate's full payload before materializing it - check that the printed payload matches the behavior you verified. learnings reject <id> tombstones the derivation signature so the same candidate does not resurface. The envelope carries only the few candidates worth acting on now; philonet-pp-cli learnings candidates lists the full open set.

Graceful degradation: if learnings confirm is an unknown command, you are driving an older binary - ignore the candidates guidance and follow the rest of the protocol.

Show full SKILL.md (1,480 more words)Show less
Step 3: always read warnings
  • low_confidence: row exists at confidence<2. Treat as a hint, not a skip-discovery hit.
  • resource_not_in_store: the local store doesn't have the resource the learning points at. The match validator couldn't classify entities — direct-fetch and re-evaluate.
  • cross_alias_match (per-result): the row was taught under a different alias and matched the live query's canonical via entity_lookups (e.g., a "USA" teach satisfying a "United States" recall). Trust the resource_id.
  • similar_shape_different_entity:<canonical> (top-level): a structurally matching row exists but its canonical entity differs from the live query's. Treated as cold start; the warning carries the conflicting canonical as a hint, but the row is NOT promoted into Results.
  • ambiguous_alias (top-level): a single query entity resolved to multiple canonicals (e.g., "Cards" → Arizona Cardinals + St. Louis Cardinals). Surface the ambiguity from context before committing to a resource.
  • candidates_present (top-level): the envelope carries a candidates section. Handle it via the candidates branch in Step 2 before anything else.
  • lookup_refresh_available (top-level): an entity in the query has no lookup row yet, but synced data could provide one. Run philonet-pp-cli sync to refresh entity lookups.
  • Top-level no_learnings_for_query_family: the table had no rows above the Jaccard floor. Pure cold start.
Step 4: teach & after finalizing your response - always

Teaching is unconditional. After resolving a query the store could not answer, background-teach the final resource mapping - no call-count threshold, no judging whether it was "worth" learning. The teach is the anchor of the loop: it triggers playbook synthesis for a family without a playbook, and same-referent phrasings fold into one family so near-duplicate teaches do not fragment the store. Fire it after assembling your user-facing response but BEFORE emitting it, with a shell & so the call returns immediately. Pass the query the same way as recall — argv/MCP, or file-then-$QUERY. Do not splice the question into the command text:

bash
QUERY=$(cat /path/to/question.txt)
philonet-pp-cli teach --query "$QUERY" --resource-type <type> --resource <id1> --resource <id2>
# (append shell `&` to background it)

Silent on success. Errors only land in teach.log under the resolved state dir. Teach the most specific resource - if the user asked a broad question and you walked through parent records to find the specific answer, teach the leaf id, not the parent. The CLI uses seeded entity_lookups for cross-alias resolution at recall time, so a teach under one alias (e.g., "Niners") satisfies future queries under another alias (e.g., "49ers", "San Francisco") automatically.

PII rule: teach the structural question with identifiers stripped - never include names, emails, phone numbers, account ids, or other personal identifiers in taught queries or notes. The CLI scans teach queries for obvious email/phone shapes and warns, but does not block; strip before teaching rather than relying on the warning.

Step 5: playbooks - optional flags, automatic synthesis

You do not need to decide whether a session "deserves" a playbook: a teach on a family without one auto-synthesizes a playbook_candidate from the session's journal, and the next session judges it via confirm/reject. Attach explicit playbook flags only when you already hold choreography worth recording verbatim - workarounds the CLI didn't surface (silently-dropped flags, undocumented params, pagination tricks, payload gotchas). Prefer the integrated one-call form - record the resource learning and the playbook in the same teach invocation:

bash
# Common case: record both the resource learning AND the playbook in one call.
QUERY=$(cat /path/to/question.txt)
philonet-pp-cli teach \
  --query "$QUERY" \
  --resource <id> \
  --playbook-file ~/playbooks/<shape>.json \
  --playbook-notes-file ~/playbooks/<shape>-notes.md
# (append shell `&` to background it)

# Alternate: playbook-only (no resource to record alongside).
QUERY=$(cat /path/to/question.txt)
philonet-pp-cli teach-playbook \
  --query "$QUERY" \
  --playbook-file ~/playbooks/<shape>.json \
  --notes-file ~/playbooks/<shape>-notes.md

Playbook files are JSON with steps, entity_slots, expected_tool_calls. Notes files are markdown carrying the gotchas verbatim. File-free callers (MCP-only agents) pass the same content inline: --playbook-json and --playbook-notes on the integrated teach form, --playbook-json and --notes on teach-playbook. On the integrated teach form, the playbook flags are optional - omit them entirely for a resource-only teach. On the standalone teach-playbook form, at least one of the playbook and notes flags must be set; both empty is rejected. Playbooks are keyed on the structural query family (entities stripped) so a recipe taught from one entity-shaped query applies to every other query of the same shape, with slots_resolved binding the live query's canonical at recall time.

When you DO find a playbook on a future recall, treat it as ground truth: replay the steps with slots_resolved substitutions, skip the discovery that the choreography already documents, and read notes before any step.

Step 6: playbook amend & when your debug response identifies a correction

If your debug-protocol response identifies a concrete correction the notes or playbook should know — a workaround, an undocumented endpoint shape, a stale field name, observed schema drift, an empty-payload fallback — fire playbook amend BEFORE emitting your user-facing response. Same fire-and-forget posture as teach. Pass the query and note as argv/MCP arguments, or write each with a non-shell file tool and read them back (QUERY=$(cat ...), NOTE=$(cat ...)). Do not interpolate either string into the command text:

bash
QUERY=$(cat /path/to/question.txt)
NOTE=$(cat /path/to/note.txt)
philonet-pp-cli playbook amend \
  --query "$QUERY" \
  --add-note "$NOTE"
# (append shell `&` to background it)

What counts as worth amending: a behavior you OBSERVED this session that future-you would benefit from knowing. Examples worth amending:

  • A workaround for a CLI surface that silently drops or misorders a flag.
  • An undocumented endpoint shape (response wrapped in {meta, results}, payload nested two levels deeper than the docs claim).
  • Observed schema drift (a field renamed, an index that shifted between seasons, a category label that the API now returns lower-cased).

What does NOT belong in notes:

  • The year-specific or entity-specific answer to the user's question. That's the response, not a learning.
  • Per-team / per-athlete / per-row data the playbook already retrieves at runtime.
  • Statements that paraphrase what the existing notes already say.

The amend command appends to the family's existing notes with a timestamped marker ([amend YYYY-MM-DDTHH:MMZ]: <text>). Multiple amends accumulate; the audit trail is visible. If no playbook exists yet for the family, amend creates a notes-only one (so cold-start corrections still land).

PII discipline for amend notes

playbook amend notes are designed to potentially flow upstream as shared knowledge in future versions of the Printing Press. Keep them clean of user-identifying content so the upstream-contribution path stays open without retroactive scrubbing:

  • Do NOT embed paths to user filesystems, personal API keys or tokens, user email addresses, user GitHub handles, or specific query histories tied to a single user.
  • Acceptable: endpoint shapes, undocumented field names, API gotchas, observed schema drift, workarounds for CLI surfaces, generalizable pagination or retry tactics.

If a correction is only meaningful with user-specific context, it belongs in a personal note, not in the playbook amend.

Measuring the loop

philonet-pp-cli learnings stats reports recall hit rate, teach-to-reuse, playbook resolution rate, and candidate confirm/reject counts from the local learn_events table. Rates are null until they have a denominator; everything stays on this machine. Use it to check whether the loop is earning its keep for this CLI.

Disabling learning
  • --no-learn on a single command short-circuits both recall and the teach write path. Use for deterministic agent flows or tests that must not be affected by accumulated learnings.
  • PHILONET_NO_LEARN=true in the environment globally disables the pipeline.

Agent Feedback

When you (or the agent) notice something off about this CLI, record it:

philonet-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
philonet-pp-cli feedback --stdin < notes.txt
philonet-pp-cli feedback list --json --limit 10

Entries are stored locally as feedback.jsonl under the resolved data dir. They are never POSTed unless PHILONET_FEEDBACK_ENDPOINT is set AND either --send is passed or PHILONET_FEEDBACK_AUTO_SEND=true. Default behavior is local-only.

Write what surprised you, not a bug report. Short, specific, one line: that is the part that compounds.

Output Delivery

Every command accepts --deliver <sink>. The output goes to the named sink in addition to (or instead of) stdout, so agents can route command results without hand-piping. Three sinks are supported:

SinkEffect
stdoutDefault; write to stdout only
file:<path>Atomically write output to <path> (tmp + rename). Binary-response commands write decoded payload bytes (not the base64 JSON envelope) and print a small JSON receipt on stdout; --json/--csv do not refuse when this sink is set.
webhook:<url>POST the output body to the URL (application/json)

Unknown schemes are refused with a structured error naming the supported set. Webhook failures return non-zero and log the URL + HTTP status on stderr.

Named Profiles

A profile is a saved set of flag values, reused across invocations. Use it when a scheduled or recurring agent reuses the same saved flags while providing different input each run.

philonet-pp-cli profile save briefing --json
philonet-pp-cli --profile briefing blog
philonet-pp-cli profile list --json
philonet-pp-cli profile show briefing
philonet-pp-cli profile delete briefing --yes

Explicit flags always win over profile values; profile values win over defaults. agent-context lists all available profiles under available_profiles so introspecting agents discover them at runtime.

Exit Codes

CodeMeaning
0Success
2Usage error (wrong arguments)
3Resource not found
4Authentication required
5API error (upstream issue)
6Partial failure
7Rate limited (wait and retry)
10Config error

Argument Parsing

Parse $ARGUMENTS:

  1. Empty, help, or --help → show philonet-pp-cli --help output
  2. Starts with install → ends with mcp → MCP installation; otherwise → see Prerequisites above
  3. Anything else → Direct Use (execute as CLI command with --agent)

MCP Server Installation

  1. Install the MCP server:
    bash
    go install github.com/mvanhorn/printing-press-library/library/social-and-messaging/philonet/cmd/philonet-pp-mcp@latest
  2. Register with Claude Code:
    bash
    claude mcp add philonet-pp-mcp -- philonet-pp-mcp
  3. Verify: claude mcp list

Direct Use

  1. Check if installed: which philonet-pp-cli If not found, offer to install (see Prerequisites at the top of this skill).
  2. Match the user query to the best command from the Unique Capabilities and Command Reference above.
  3. Execute with the --agent flag:
    bash
    philonet-pp-cli <command> [subcommand] [args] --agent
  4. If ambiguous, drill into subcommand help: philonet-pp-cli <command> --help.

© mvanhorn, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in cli-skills/pp-philonet of mvanhorn/printing-press-library.

Open the folder on GitHubat commit d9a1696

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Questions about Pp Philonet

What does Pp Philonet do?

Your Philonet reading life in the terminal: feed, threads, streaks and friends, plus a local history the web app does not keep. Pp Philonet is an agent skill from mvanhorn/printing-press-library. Your Philonet reading life in the terminal: feed, threads, streaks and friends, plus a local history the web app does not keep.

When should I use Pp Philonet?

Pp Philonet fits situations like: phrases: check my philonet; what are my friends reading on philonet; philonet reading streak; search philonet for.

How do I install Pp Philonet in Claude Code?

Run `npx skills add mvanhorn/printing-press-library --skill pp-philonet -a claude-code`. Or copy the skill folder (cli-skills/pp-philonet in mvanhorn/printing-press-library) into .claude/skills/pp-philonet in your project. Claude Code loads it when a task matches its description.

How do I install Pp Philonet in Codex?

Run `npx skills add mvanhorn/printing-press-library --skill pp-philonet -a codex`. Or copy the skill folder (cli-skills/pp-philonet in mvanhorn/printing-press-library) into .agents/skills/pp-philonet in your project. Codex loads it when a task matches its description.

Can I use Pp Philonet in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mvanhorn/printing-press-library --skill pp-philonet -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pp-philonet, .gemini/skills/pp-philonet, .github/skills/pp-philonet and .opencode/skills/pp-philonet in your project.

What does Pp Philonet need to run?

Going by SKILL.md and its folder, Pp Philonet needs the command-line tools its instructions call (go, claude and npx) and credentials named PHILONET_TOKEN. Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Bash.

Does Pp Philonet access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Pp Philonet safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Pp Philonet use?

Pp Philonet is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pp Philonet use?

About 8.7k tokens (SKILL.md is roughly 35k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Pp Philonet?

Skills that share tags, products or a category with Pp Philonet: Terminal Opener (affaan-m/ECC, 276k stars), Read Session (asgeirtj/system_prompts_leaks, 69k stars), Read All Adrs (sickn33/agentic-awesome-skills, 47k stars) and Terminal Ops (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pp Philonet?

mvanhorn (a GitHub user) maintains it in mvanhorn/printing-press-library, which has 2,056 GitHub stars. The repository holds 506 skills in this directory. The repository was last updated on October 9, 2026.

Source: mvanhorn/printing-press-library on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.