What is skill-rank AGENTS.md?

Repository instructions for AI coding agents working on SkillRank, a Next.js app that scores and re-ranks Claude and other agent skills using web data.

Use them when changing scoring logic, adding web sources, or checking a SkillRank change with tests, lint, and builds.

They give agents the project rules, file locations, commands, and tests needed to make safe changes without breaking ranking or data collection.

How davidcjw/skill-rank configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to davidcjw/skill-rank. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/davidcjw/skill-rank/master/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/davidcjw/skill-rank

Made for: Codex, OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/davidcjw/skill-rank/agents-md/github.svg)](https://agentmods.dev/instructions/davidcjw/skill-rank/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/davidcjw/skill-rank/agents-md"><img src="https://agentmods.dev/badge/instructions/davidcjw/skill-rank/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/davidcjw/skill-rank/agents-md"><img src="https://agentmods.dev/badge/instructions/davidcjw/skill-rank/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 910 This file is loaded in full into every session.

When invoked 910 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00910	$0.00910
Opus 5.5	$0.00364	$0.00364
Sonnet 5.5	$0.00182	$0.00182
Haiku 4.5	$0.00091	$0.00091

Measured 2mo ago against content hash ddd8565b3535, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-rank AGENTS.md 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 2mo 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.

AGENTS.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — SkillRank

Guidance for AI agents working in this repo.

What this is

A Next.js 16 app that ranks Claude / AI-agent skills by a cross-web popularity score and re-ranks every 24 hours. No database required to run; an optional Supabase table unlocks day-over-day movement arrows.

Commands

npm run dev     # local dev server
npm test        # vitest (ranking engine) — run before claiming a feature done
npm run lint    # eslint (next core-web-vitals + ts)
npm run build   # production build; must pass before deploy

Always run npm test and npm run lint before considering a change complete.

Where things live

Scoring logic is in lib/rank.ts and is pure (no I/O). All ranking/merge changes go here and must keep lib/__tests__/rank.test.ts green. Add a test for any new signal or weight.
Each web source is one file in lib/sources/ exporting a single fetch*Candidates() that must be resilient — wrap everything in try/catch and return [] on failure. Never let a dead source break the page. Current sources: github, npm, hackernews, awesomeLists (extracts gh:owner/repo links from curated "awesome-*" READMEs via raw.githubusercontent.com → mentions endorsement signal, community bucket). A "buzz/mention" source only adds value if it maps to a canonical gh:owner/repo key, since merge is by key.
lib/trending.ts (selectTrending/hasTrending) is a pure selector of risers/fallers/new from the ranked board's delta/isNew. components/Trending.tsx renders the strip and returns null until movement data exists. Keep the selector tested.
Source fetches must be tagged for cache invalidation: next: { revalidate: 86_400, tags: ["skills"] }. The cron route calls revalidateTag("skills").
lib/skills.ts is the orchestrator. New sources are wired in here and into liveSources. It filters live candidates through isRelevantSkill before ranking.
lib/relevance.ts is the on-topic gate: an allowlist of Claude/agent terms (RELEVANCE_PATTERNS) plus a curated denylist of non-skill repos (EXCLUDE_KEY_PATTERNS, e.g. n8n, vendor CLIs). When a general-purpose tool keeps surfacing, add it to the denylist and cover it in lib/__tests__/relevance.test.ts.
lib/seed.ts is the offline fallback; keep entries real and plausible.
UI lives in components/. The board is OLED-dark, Fira Code/Sans, with tabular figures (.tnum) on every number. Keep that aesthetic.

Read the full file on GitHub · 42 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.

2mo ago First seen · 42 lines · 910 tokens per session scan A ddd8565b3535

Subscribe to this mod's changes

skill-rank AGENTS.md is an instructions file published in the GitHub repository davidcjw/skill-rank (2 stars, last pushed 3mo ago), licensed MIT. It adds 910 tokens to every session, about $0.0036 per session on Opus 5.5. 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 2026-08-31.

Claude Code ai-agents anthropic claude leaderboard nextjs

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 9,715 tokens

skill-rank: Instructions file for Codex

Borrowing it

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

AGENTS.md — SkillRank

What this is

Commands

Where things live

What this file has done since we first saw it

Other instructions, from other repositories

vscode buildNext.instructions.md

next.js AGENTS.md

vscode oss-third-party-notices.instructions.md

langchain AGENTS.md

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deno copilot-instructions.md