skills-scout

Use when a user wants you to discover and optionally install new agent skills for a task, and you must get explicit consent before any global install into Codex.

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

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Install skill "skills-scout" with this command: npx skills add servaltullius/skills-scout/servaltullius-skills-scout-skills-scout

Skills Scout

Overview

Discover relevant skills from skills.sh and install them globally for Codex only after the user reviews options and explicitly approves installation.

Core principle: Search before building; ask before installing.

How this differs from find-skills (vercel-labs/skills)

There is an upstream skill that covers “how to use npx skills find”. skills-scout is intentionally stricter and Codex-focused:

  • Adds hard‑mode vetting (repo metadata + risky command scan) before recommending installs.
  • Enforces explicit consent gates and Codex global install defaults (-g -a codex).
  • Optionally pins installed skills into the repo AGENTS.md so they’re actually visible per repo.

Reference: https://github.com/vercel-labs/skills/blob/main/skills/find-skills/SKILL.md

When to Use

Use this skill when the user:

  • Asks “is there a skill for X?” / “find a skill for X”
  • Mentions wanting to extend agent capabilities for the task
  • Says “install whatever you need” but still expects transparency/consent
  • Has a common task where a skill likely exists (testing, CI/CD, PR review, docs, deploy)

Do not use this skill when the user:

  • Explicitly forbids installs or network access
  • Only wants an explanation (no execution)

Workflow

0) Confirm constraints (Codex global install)

  • Install scope: global (-g)
  • Target agent: codex (-a codex)
  • Search scope: allow all (entire ecosystem), but vet credibility before recommending
  • Install count: unlimited, but never install without explicit consent

If the user wants the “project start” workflow to happen by default in new repos, recommend adding a small routine to their global ~/.codex/AGENTS.md (do not edit without consent):

  • Preview (dry-run): node ~/.codex/skills/skills-scout/scripts/pin-agents-md.mjs --repo .
  • Apply (write): node ~/.codex/skills/skills-scout/scripts/pin-agents-md.mjs --repo . --write

1) Check what’s already installed

npx -y skills ls -g -a codex
ls -la ~/.codex/skills

If a suitable skill is already installed, use it instead of installing duplicates.

1.5) Quick project scan (to refine search + compatibility)

Before searching, do a quick scan to identify the project’s stack so you don’t recommend irrelevant skills.

Look for:

  • Language/runtime (Node/Python/Go/etc.)
  • Package manager (pnpm/npm/yarn/bun)
  • Framework (Next.js/React/Vite/etc.)
  • CI system (GitHub Actions, etc.)

Example commands (keep it fast; don’t read secrets like .env):

ls
rg --files | rg -i '^(package\\.json|pnpm-lock\\.yaml|yarn\\.lock|package-lock\\.json|bun\\.lockb|bun\\.lock|next\\.config\\.|vite\\.config\\.|tsconfig\\.json|pyproject\\.toml|requirements\\.txt|go\\.mod|cargo\\.toml|dockerfile|docker-compose\\.|\\.github/workflows/)'

Use this context to:

  • build a better query (e.g., “playwright e2e pnpm nextjs”)
  • mark candidates Caution/Avoid if they assume the wrong stack (e.g., bun-only skill on a pnpm repo)

2) Search for candidate skills

Turn the user request into a short keyword query (2–6 words), then run:

npx -y skills find "<query>"

Never invent results. Always run the search and present the real output (or say “no skills found”).

Tip (clean output for copy/paste/notes):

npx -y skills find "<query>" | sed -r 's/\x1B\[[0-9;]*[mK]//g'

3) Vet candidates (credibility + risk)

Before recommending any skill for installation, do a quick credibility/risk pass. “Allow all” means search all, not trust all.

Hard mode (default): evidence before labels.

  • Never claim “MIT”, “recent push”, “safe”, “maintained”, etc. unless you actually verified it.
  • If you cannot verify key facts (license/activity/archived), treat it as unknown and classify as Caution or Avoid.

Credibility signals (prefer):

  • Maintained repo (recent activity, not archived)
  • Clear owner identity (org or known maintainer)
  • License present
  • Multiple users/adoption signals (stars/downloads/usage), where available
  • Skill text is specific, not vague marketing
  • Looks compatible with this repo’s stack (package manager/framework/CI)

Risk signals (avoid or require explicit “I accept risk”):

  • Asks for secrets/tokens in plaintext, or to paste credentials
  • Contains destructive commands (rm -rf, sudo, editing ~/.ssh, changing shells/rc files)
  • Pipes remote scripts to shell (curl ... | sh, wget ... | bash)
  • Downloads/runs opaque binaries without provenance
  • Broad filesystem operations outside the current repo without justification

Hard gating checks (do these, don’t guess):

  1. Identify the backing repo (owner/repo) from the skill spec.
  2. Fetch repo metadata (GitHub API) and record the facts:
curl -fsSL "https://api.github.com/repos/<owner>/<repo>" \
  | python -c 'import sys,json; d=json.load(sys.stdin); print(\"archived:\", d.get(\"archived\")); print(\"pushed_at:\", d.get(\"pushed_at\")); print(\"license:\", (d.get(\"license\") or {}).get(\"spdx_id\")); print(\"stars:\", d.get(\"stargazers_count\"))'

If gh is available, you may use it instead of curl:

gh api repos/<owner>/<repo> --jq '{archived, pushed_at, license:(.license.spdx_id // \"NONE\"), stars:.stargazers_count}'

If rate-limited, do not ask the user to paste a token. Ask them to set GITHUB_TOKEN in the environment (out of band) or proceed without installs.

  1. Skim the skill’s SKILL.md (and any scripts it references) for the risk signals above.

Assign one of: Recommended, Caution, Avoid.

Classification rules (harder defaults):

  • Avoid if any are true:
    • archived: true
    • license: None / NOASSERTION / missing
    • Any risk signal is present (secrets-in-chat, destructive commands, curl|sh, opaque binaries, etc.)
    • pushed_at is very old (e.g., > ~12 months)
  • Caution if any are true:
    • Repo activity is not clearly recent (e.g., pushed > ~6 months ago) or you can’t easily tell
    • Low adoption signal (e.g., very low stars) or unclear scope (project-specific)
    • The skill references helper scripts/binaries you have not reviewed yet
    • You can’t verify metadata due to tooling/rate limits
  • Recommended only if:
    • Not archived, license is present, activity is recent, and no risk signals were found.

Minimum info to show the user per candidate:

  • Skill spec (e.g. owner/repo@skill)
  • skills.sh link
  • The exact install command
  • Your assessment: Recommended / Caution / Avoid (with 1-line reason)
  • Evidence summary (don’t paste huge blobs): archived=… license=… pushed_at=… stars=…

4) Present options and ask for consent

Always present choices first. Use a numbered list and ask the user to pick:

  • “Install 1 and 3”
  • “Install all”
  • “Install none; proceed without skills”

Hard mode consent rules:

  • Install Recommended only after the user explicitly chooses.
  • Install Caution only after the user explicitly chooses and acknowledges risk.
  • Do not offer Avoid for installation by default. Only proceed if the user names it explicitly and says they accept the risk.

5) Install the selected skills (global)

npx -y skills add -g -a codex -y <owner/repo@skill>

If the skill spec contains spaces, quote it:

npx -y skills add -g -a codex -y 'owner/repo@Skill With Spaces'

Install multiple skills by repeating the command for each selection.

6) Verify installation and proceed

npx -y skills ls -g -a codex

Then load and follow the installed skill(s)’ instructions while doing the user’s task.

7) (Optional) Pin installed skills into this repo’s AGENTS.md

If you install skills globally, Codex may not “see” them for this repo unless they’re listed in the repo’s AGENTS.md.

This repo includes a helper script that:

  • scans the current repo to infer stack keywords
  • scans installed skills (global + repo-local)
  • writes/updates a generated pinned section in <repo>/AGENTS.md (creates it if missing)

Dry-run (prints the would-be AGENTS.md):

node ~/.codex/skills/skills-scout/scripts/pin-agents-md.mjs --repo .

Apply changes:

node ~/.codex/skills/skills-scout/scripts/pin-agents-md.mjs --repo . --write

Notes:

  • Only the block between <!-- skills-scout:start --> and <!-- skills-scout:end --> is managed.
  • Re-running is idempotent.

Quick Reference

GoalCommand
Search skillsnpx -y skills find "<query>"
Install (global)npx -y skills add -g -a codex -y <owner/repo@skill>
List installed (global)npx -y skills ls -g -a codex
Remove (global)npx -y skills remove -g -a codex -y <skill-name>

Example (Playwright e2e setup)

User: “Playwright로 e2e 테스트 셋업 해줘. 필요한 스킬 있으면 설치해도 돼.”

  1. Search:
npx -y skills find "playwright e2e"
  1. Present options (example format):
  1. Ask: “Which ones should I install (e.g., 1, 2, 1 2, or none)? I’ll install globally for Codex.”

Common Mistakes

  • Installing immediately because “the user said it’s ok” (still must ask per-task)
  • Making up skill search results instead of running npx skills find
  • Recommending skills without vetting credibility/risk
  • Installing project-level (forgetting -g) when the user wants global
  • Forgetting -a codex and installing to the wrong agent
  • Treating unknown repos as trusted (always show source + ask first)

Red Flags — STOP and Ask

  • “I’ll install first and explain after”
  • “I can just recommend skills without searching”
  • “It’s probably fine; no need to vet the repo/scripts”
  • “Searching is slow; I’ll skip it”
  • “They approved once, so I can keep installing”

Rationalizations to Counter

RationalizationCounter-rule
“Time pressure: just start fixing CI”Run a quick skills find first; then ask. If user says “skip”, proceed without installs.
“User said ‘install whatever’, so no need to ask”Still present options and ask which to install (explicit consent each time).
“It’s faster to proceed without skills”At least check; if nothing relevant shows up, proceed normally.
“I already know what skills exist”Don’t guess. Run npx skills find and present the real results.
“We can trust any skill from skills.sh”Search is open; trust is earned. Vet credibility and scan for risky commands.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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