skill-discovery

skill-discovery is a skill for Claude Code, Codex from dannote/dot-pi. It costs 14 tokens per session (830 once invoked), scanned A, original, MIT.

A search tool for finding reusable instructions for coding agents on GitHub. These instructions are commonly stored in files named SKILL.md and can work with several agent tools.

In plain words
What is it for?
Use it to search repositories by topic, find folders containing SKILL.md files, and build a local catalog that you can search or filter.
Why use it?
It avoids searching GitHub manually and helps you locate relevant skill collections or repositories.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/dannote/dot-pi/skill-discovery
Any agent
npx skills add dannote/dot-pi --skill skill-discovery
Clone the repo
git clone --depth 1 https://github.com/dannote/dot-pi

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for skill-discovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/dannote/dot-pi/skill-discovery.svg)](https://agentmods.dev/skills/dannote/dot-pi/skill-discovery)
Your own site
<a href="https://agentmods.dev/skills/dannote/dot-pi/skill-discovery"><img src="https://agentmods.dev/badge/skills/dannote/dot-pi/skill-discovery.svg" alt="Measured on agentmods" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 830 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00014 $0.00830
Opus 5 $0.00007 $0.00415
Sonnet 5 $0.00003 $0.00166
Haiku 4.5 $0.00001 $0.00083

Measured 5d ago against content hash 050968bfa7df, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-discovery scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/skill-discovery/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Discovery

Find agent skills on GitHub using gh CLI. Skills work across multiple harnesses (Claude Code, Codex, Gemini CLI, Pi, etc.) as they follow the same SKILL.md format.

Workflow

  1. Search repos by topic to find skill collections
  2. For awesome lists: fetch README and extract skill links
  3. For skill repos: list directories containing SKILL.md
  4. Build searchable catalog at /tmp/skills-catalog.md
  5. Search/filter based on user query

Find skill repos

gh search repos --topic=claude-skills --sort=stars --limit=30 --json fullName,description
gh search repos --topic=codex-skills --sort=stars --limit=20 --json fullName,description
gh search repos --topic=gemini-skills --sort=stars --limit=20 --json fullName,description
gh search repos --topic=skill-md --sort=stars --limit=20 --json fullName,description
gh search repos --topic=agent-skills --sort=stars --limit=20 --json fullName,description
gh search repos --topic=claude-code-skills --sort=stars --limit=20 --json fullName,description
gh search repos --topic=gemini-cli-skills --sort=stars --limit=20 --json fullName,description

Find repos with SKILL.md files

Search GitHub code for actual SKILL.md files (finds repos not tagged with topics):

# Find repos containing SKILL.md files, then fetch stars via GraphQL (single query)
repos=$(gh search code "filename:SKILL.md" --limit=50 --json repository | jq -r '.[].repository.nameWithOwner' | sort -u)

# Build GraphQL query to get stars for all repos at once
query="{ "
i=0
for repo in $repos; do
  owner="${repo%/*}"
  name="${repo#*/}"
  query+="r$i: repository(owner: \"$owner\", name: \"$name\") { nameWithOwner stargazerCount description } "
  ((i++))
done
query+="}"

gh api graphql -f query="$query" --jq '.data | to_entries[] | "\(.value.nameWithOwner) ★\(.value.stargazerCount) - \(.value.description // "no desc")"' | sort -t'★' -k2 -rn

Build catalog from awesome lists

For repos with "awesome" in name, fetch README:

gh api "repos/<owner>/<repo>/contents/README.md" --jq '.content' | base64 -d >> /tmp/skills-catalog.md

Read the full file on GitHub · 100 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 100 lines · 14 tokens per session scan A 050968bfa7df

Subscribe to this mod's changes

skill-discovery is a skill published in the GitHub repository dannote/dot-pi (51 stars, last pushed today), licensed MIT. It adds 14 tokens to every session and 830 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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