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Agent skill

Pave Contribute

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Contribute a session learning back to the upstream tonone repo.

MITAuto-check: notes

Install Pave Contribute

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill pave-contribute -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace pave-contribute --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/pave-contribute .claude/skills/pave-contribute && 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
pave-contribute
GitHub stars
2.8k
Token cost
~1k tokens
SKILL.md length
302 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Contribute a session learning back to the upstream tonone repo.

  • Works in 6 steps: Extract the learning (no user input… → Map to a file change → Sanitize (automatic, no asking) → …
  • Asked to contribute a learning
  • SKILL.md covers Step 1 — Extract the learning…, Step 2 — Map to a file change, Step 3 — Sanitize (automatic,… and Step 4 — One question, plus 3 more sections
  • Calls git and gh; reaches github.com

What it does

Pave Contribute is an agent skill from jeremylongshore/tons-of-skills-marketplace. Contribute a session learning back to the upstream tonone repo. Scans the conversation, extracts the single most reusable insight, asks one question, creates the PR. Use when asked to "contribute a learning", "share a discovery", "improve tonone", or "submit a fix upstream".

Its SKILL.md is about 1k 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: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Asked to contribute a learning
  • Share a discovery
  • Submit a fix upstream

Example prompts

  • “contribute a learning”
  • “share a discovery”
  • “improve tonone”
  • “/pave-contribute”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, AskUserQuestion

Workflow steps

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

  1. Extract the learning (no user input needed)
  2. Map to a file change
  3. Sanitize (automatic, no asking)
  4. One question
  5. Create the PR (no further questions)
  6. Receipt

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. 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
    • Write
    • Edit
    • Bash
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • gh

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    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

Pave Contribute loads about 1k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 302 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~1k

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, Write, Edit, Bash, AskUserQuestion

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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 302 words, ~1,021 tokens.

Download SKILL.mdSave it as .claude/skills/pave-contribute/SKILL.md (or your agent's skills folder).
name
pave-contribute
description
Contribute a session learning back to the upstream tonone repo. Scans the conversation, extracts the single most reusable insight, asks one question, creates the PR. Use when asked to "contribute a learning", "share a discovery", "improve tonone", or "submit a fix upstream".
allowed-tools
Read, Write, Edit, Bash, AskUserQuestion
version
0.9.9
author
tonone-ai <hello@tonone.ai>
license
MIT

Contribute to tonone

You are Pave. Scan the session. Find the learning. One question. PR. Done.

Step 1 — Extract the learning (no user input needed)

Read the current conversation and find the single most reusable insight. Look for:

  • A routing gap: user's request didn't match any skill, they worked around it
  • Agent corrections: user corrected the same agent 2+ times for the same pattern
  • A missing skill: user built something that should exist as a /skill-name
  • A prompt improvement: agent's default behavior needed explicit correction

Score candidates by reusability (would this help ANY tonone user, not just this project?). Pick the highest-scoring one. If nothing qualifies, print:

╭─ PAVE ── contribute ─────────────────────────────╮
  No reusable learnings found in this session.
╰──────────────────────────────────────────────────╯

...and exit.

Step 2 — Map to a file change

Determine exactly what to change in the tonone repo:

Learning typeFile to change
routing gapCLAUDE.md — add routing rule
agent correctionagents/<name>.md — patch system prompt
missing skillskills/<name>/SKILL.md — new skill stub
prompt improvementagents/<name>.md or skills/<name>/SKILL.md

Draft the exact diff in memory. Keep it minimal — one logical change.

Step 3 — Sanitize (automatic, no asking)

Strip all user-specific context from the proposed change:

  • Project/company/domain names → <project> / <company>
  • Personal file paths → <path>
  • Any credentials or tokens → <redacted>

Step 4 — One question

Use AskUserQuestion with exactly this format:

Learning found: <one-line description of the improvement> Change: <file> — <what changes, in 10 words or less>

Contribute this to tonone?

Options: Yes / No

If No: exit silently.

Step 5 — Create the PR (no further questions)

bash
TONONE_TMP=$(mktemp -d)
git clone https://github.com/tonone-ai/tonone "$TONONE_TMP/tonone" --depth=1 --quiet
cd "$TONONE_TMP/tonone"

gh repo fork --remote-name=fork --clone=false 2>/dev/null || true
GH_USER=$(gh api user --jq .login)
git remote add fork "https://github.com/${GH_USER}/tonone.git" 2>/dev/null || \
  git remote set-url fork "https://github.com/${GH_USER}/tonone.git"

BRANCH="contribute/$(echo '<slug>' | tr ' ' '-')-$(date +%Y%m%d)"
git checkout -b "$BRANCH"

Apply the diff to the appropriate file. Then:

bash
git add -A
git commit -m "contribute: <one-line description>"
git push fork "$BRANCH" --quiet

PR_URL=$(gh pr create \
  --repo tonone-ai/tonone \
  --head "${GH_USER}:${BRANCH}" \
  --title "<title>" \
  --body "## Learning

<description>

## Type

\`<routing | agent-patch | skill-new | skill-improve>\`

---
*Via \`/contribute\` — auto-extracted from a tonone session*" \
  --json url --jq .url)

rm -rf "$TONONE_TMP"

Step 6 — Receipt

╭─ PAVE ── contribute ─────────────────────────────╮

  PR open: <PR_URL>

╰──────────────────────────────────────────────────╯

Error handling

  • gh not authenticated → print "Run gh auth login first." Exit.
  • Nothing reusable found → print "No reusable learnings found." Exit.
  • Push fails → print error, rm -rf "$TONONE_TMP", exit.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

If output exceeds 40 lines, delegate to /atlas-report.

© jeremylongshore, MIT. 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 plugins/ai-agency/tonone/skills/pave-contribute of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Pave Contribute 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.

Pave Contribute compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pave Contribute this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1kAutomated safety check: NotesMIT
Scanwshobson/agents40k—~2.2kAutomated safety check: PassMIT
Repo Scanaffaan-m/ECC276k—~1.5kAutomated safety check: PassMIT
Repo Scanaffaan-m/ECC276k—~1.3kAutomated safety check: PassMIT
Vulnerability Scanningsickn33/agentic-awesome-skills47k1 repos~2.8kAutomated safety check: PassMIT
Repo Scanaffaan-m/ECC277k1 repos~1.8kAutomated safety check: PassMIT

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Questions about Pave Contribute

What does Pave Contribute do?

Contribute a session learning back to the upstream tonone repo. Pave Contribute is an agent skill from jeremylongshore/tons-of-skills-marketplace. Contribute a session learning back to the upstream tonone repo.

When should I use Pave Contribute?

Pave Contribute fits situations like: asked to contribute a learning; share a discovery; submit a fix upstream.

How do I install Pave Contribute in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill pave-contribute -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/pave-contribute in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/pave-contribute in your project. Claude Code loads it when a task matches its description.

How do I install Pave Contribute in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill pave-contribute -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/pave-contribute in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/pave-contribute in your project. Codex loads it when a task matches its description.

Can I use Pave Contribute 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 jeremylongshore/tons-of-skills-marketplace --skill pave-contribute -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pave-contribute, .gemini/skills/pave-contribute, .github/skills/pave-contribute and .opencode/skills/pave-contribute in your project.

What does Pave Contribute need to run?

Going by SKILL.md and its folder, Pave Contribute needs the command-line tools its instructions call (git and gh). Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, AskUserQuestion.

Does Pave Contribute access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Pave Contribute 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 Pave Contribute use?

Pave Contribute is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pave Contribute use?

About 1k tokens (SKILL.md is roughly 4.1k 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 Pave Contribute?

Skills that share tags, products or a category with Pave Contribute: Scan (wshobson/agents, 40k stars), Repo Scan (affaan-m/ECC, 276k stars), Repo Scan (affaan-m/ECC, 276k stars) and Vulnerability Scanning (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pave Contribute?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.