Agent skill

Pp Drug Enforcement

by mvanhorn in mvanhorn/printing-press-library

Search FDA drug recall enforcement records — keyless, offline-cacheable, agent-native.

Apache-2.0Auto-check: notes

Install Pp Drug Enforcement

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

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

GitHub CLI
$ gh skill install mvanhorn/printing-press-library pp-drug-enforcement --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-drug-enforcement .claude/skills/pp-drug-enforcement && 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-drug-enforcement
GitHub stars
2.1k
Token cost
~2.9k tokens
SKILL.md length
1,211 words
Files
1
Skills in repo
506
Repo updated
First seen
Licence
Apache-2.0

At a glance

Search FDA drug recall enforcement records — keyless, offline-cacheable, agent-native.

  • Works in 3 steps: Install via the Printing Press… → Verify: drug-enforcement-pp-cli --version → Ensure the reported install directory is…
  • SKILL.md covers Prerequisites: Install the CLI, When Not to Use This CLI, Unique Capabilities and Recipes, plus 11 more sections
  • Calls go, claude and npx

What it does

Pp Drug Enforcement is an agent skill from mvanhorn/printing-press-library. Search FDA drug recall enforcement records — keyless, offline-cacheable, agent-native. Reports FDA facts only; never says a drug is safe.

Its SKILL.md is about 2.9k 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.

Example prompts

  • “/pp-drug-enforcement”

Requirements

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

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Install via the Printing Press installer. It defaults binaries to $HOME/.local/bin on macOS/Linux and…
  2. Verify: drug-enforcement-pp-cli --version
  3. Ensure the reported install directory is on $PATH for the agent/runtime that will invoke this skill.

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 no API keys, tokens, secrets or passwords.

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

Context cost

Pp Drug Enforcement loads about 2.9k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 1,211 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k

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). 1,211 words, ~2,938 tokens.

Download SKILL.mdSave it as .claude/skills/pp-drug-enforcement/SKILL.md (or your agent's skills folder).
name
pp-drug-enforcement
description
Search FDA drug recall enforcement records — keyless, offline-cacheable, agent-native. Reports FDA facts only; never says a drug is safe.
allowed-tools
Read, Bash
author
laci141
license
Apache-2.0
argument-hint
<command> [args] | install cli|mcp
<!-- GENERATED FILE — DO NOT EDIT.
     This file is a verbatim mirror of library/health/drug-enforcement/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/". -->

Drug Enforcement — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the drug-enforcement-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 drug-enforcement --cli-only
  2. Verify: drug-enforcement-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/health/drug-enforcement/cmd/drug-enforcement-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.

A keyless CLI over the openFDA drug enforcement endpoint. The check, firm, recent, and reference commands wrap FDA recall search with pre-built queries; every result cites the recall number, prints the FDA class legend, and carries an enforcement-not-medical-advice disclaimer. A drug with no recall is reported as 'no recall records found', never as safe.

When Not to Use This CLI

Do not activate this CLI for requests that require creating, updating, deleting, publishing, commenting, upvoting, inviting, ordering, sending messages, booking, purchasing, or changing remote state. This printed CLI exposes read-only commands for inspection, export, sync, and analysis.

Unique Capabilities

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

Recall lookups
  • check — Find active FDA recalls that mention a drug, optionally filtered to the most serious class.

    Reach for this when an agent needs the recall status of a specific medication by name.

    bash
    drug-enforcement-pp-cli check "ibuprofen" --class 1
  • firm — List every recall attributed to a recalling firm or manufacturer.

    Use this to audit a manufacturer's recall history.

    bash
    drug-enforcement-pp-cli firm "Teva"
  • recent — List recalls initiated in the last N days, most recent first.

    Use this for a periodic sweep of newly initiated drug recalls.

    bash
    drug-enforcement-pp-cli recent --days 30
  • reference — Show full detail for a single recall number, with the FDA class legend.

    Use this to expand one recall's full facts after a check/firm/recent lookup surfaces its number.

    bash
    drug-enforcement-pp-cli reference D-0183-2023

Recipes

Serious recalls for a drug
bash
drug-enforcement-pp-cli check "valsartan" --class 1 --json --select results.recall_number,results.reason_for_recall

Class I recalls for a drug, narrowed to the recall number and reason.

Manufacturer recall history
bash
drug-enforcement-pp-cli firm "Teva" --json

Every recall attributed to a firm, as JSON.

Rolling 7-day sweep
bash
drug-enforcement-pp-cli recent --days 7

Recalls initiated in the last week, most recent first.

Command Reference

enforcement — FDA drug recall enforcement records (openFDA /drug/enforcement.json)

  • drug-enforcement-pp-cli enforcement — Search drug recall enforcement records with an openFDA Lucene search expression
Finding the right command

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

bash
drug-enforcement-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.

Auth Setup

No authentication required.

Run drug-enforcement-pp-cli doctor to verify setup.

Agent Mode

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

  • 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
    drug-enforcement-pp-cli enforcement --agent --select id,name,status
  • 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

  • Read-only — do not use this CLI for create, update, delete, publish, comment, upvote, invite, order, send, or other mutating requests

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.

Show full SKILL.md (586 more words)Show less

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 DRUG_ENFORCEMENT_HOME=<dir> to relocate all four path kinds under one root.

  • Use per-kind env vars only when a specific kind must diverge: DRUG_ENFORCEMENT_CONFIG_DIR, DRUG_ENFORCEMENT_DATA_DIR, DRUG_ENFORCEMENT_STATE_DIR, DRUG_ENFORCEMENT_CACHE_DIR.

  • Resolution order is per-kind env var, --home, DRUG_ENFORCEMENT_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 drug-enforcement-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": {
        "drug-enforcement": {
          "command": "drug-enforcement-pp-mcp",
          "env": {
            "DRUG_ENFORCEMENT_HOME": "/srv/drug-enforcement"
          }
        }
      }
    }

Fleet precedence: an inherited per-kind env var overrides an explicit --home for that kind. Use DRUG_ENFORCEMENT_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 DRUG_ENFORCEMENT_HOME, or doctor will not find credentials left under the former root.

Agent Feedback

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

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

Entries are stored locally as feedback.jsonl under the resolved data dir. They are never POSTed unless DRUG_ENFORCEMENT_FEEDBACK_ENDPOINT is set AND either --send is passed or DRUG_ENFORCEMENT_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)
webhook:<url>POST the output body to the URL (application/json or application/x-ndjson when --compact)

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 agent calls the same command every run with the same configuration - HeyGen's "Beacon" pattern.

drug-enforcement-pp-cli profile save briefing --json
drug-enforcement-pp-cli --profile briefing enforcement
drug-enforcement-pp-cli profile list --json
drug-enforcement-pp-cli profile show briefing
drug-enforcement-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
5API error (upstream issue)
7Rate limited (wait and retry)
10Config error

Argument Parsing

Parse $ARGUMENTS:

  1. Empty, help, or --help → show drug-enforcement-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/health/drug-enforcement/cmd/drug-enforcement-pp-mcp@latest
  2. Register with Claude Code:
    bash
    claude mcp add drug-enforcement-pp-mcp -- drug-enforcement-pp-mcp
  3. Verify: claude mcp list

Direct Use

  1. Check if installed: which drug-enforcement-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
    drug-enforcement-pp-cli <command> [subcommand] [args] --agent
  4. If ambiguous, drill into subcommand help: drug-enforcement-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-drug-enforcement of mvanhorn/printing-press-library.

Open the folder on GitHubat commit d9a1696

Compare with similar skills

Pp Drug Enforcement next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Pp Drug Enforcement compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pp Drug Enforcement this skillmvanhorn/printing-press-library2.1k—~2.9kAutomated safety check: NotesApache-2.0
Recordingcodewhale-hq/Codewhale41k—~540Automated safety check: PassMIT
Recallcursor/plugins11k7 repos~1.3kAutomated safety check: PassNone
Architecture Decision Recordsaffaan-m/ECC277k4 repos~1.8kAutomated safety check: PassMIT
Architecture Decision Recordsaffaan-m/ECC277k1 repos~863Automated safety check: PassMIT
Architecture Decision Recordsaffaan-m/ECC276k—~1.1kAutomated safety check: PassMIT

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Questions about Pp Drug Enforcement

What does Pp Drug Enforcement do?

Search FDA drug recall enforcement records — keyless, offline-cacheable, agent-native. Pp Drug Enforcement is an agent skill from mvanhorn/printing-press-library. Search FDA drug recall enforcement records — keyless, offline-cacheable, agent-native.

How do I install Pp Drug Enforcement in Claude Code?

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

How do I install Pp Drug Enforcement in Codex?

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

Can I use Pp Drug Enforcement 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-drug-enforcement -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-drug-enforcement, .gemini/skills/pp-drug-enforcement, .github/skills/pp-drug-enforcement and .opencode/skills/pp-drug-enforcement in your project.

What does Pp Drug Enforcement need to run?

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

Does Pp Drug Enforcement 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 Drug Enforcement 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 Drug Enforcement use?

Pp Drug Enforcement 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 Drug Enforcement use?

About 2.9k tokens (SKILL.md is roughly 12k 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 Drug Enforcement?

Skills that share tags, products or a category with Pp Drug Enforcement: Recording (codewhale-hq/Codewhale, 41k stars), Recall (cursor/plugins, 11k stars), Architecture Decision Records (affaan-m/ECC, 277k stars) and Architecture Decision Records (affaan-m/ECC, 277k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pp Drug Enforcement?

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.