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.
npx skills add majiayu000/claude-skill-registry --skill agent-context-generatorgit clone --depth 1 https://github.com/majiayu000/claude-skill-registryWrote 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.
[](https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-context-generator)<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-context-generator"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-context-generator/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.
<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-context-generator"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-context-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00049 | $0.01993 |
| Opus 5 | $0.00024 | $0.00996 |
| Sonnet 5 | $0.00010 | $0.00399 |
| Haiku 4.5 | $0.00005 | $0.00199 |
Grade A, and why
agent-context-generator 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 9d 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.
This is a copy
100% identical to agent-context-generator — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Context Generator
What You'll Do
- 🔍 Inventory the repository's structure, capture a
.gitignore-awaretreeoutput, and record automation entry points (preferringjust/maketasks when available) - 🧭 Capture coding conventions, directory ownership, testing expectations, and review workflows so future agents can navigate confidently
- 🧩 Produce an
AGENTS.mdfile following the opinionated section order below, honoring scope rules for nested directories - ✅ Embed universal wrap-up tasks: ensure the README is updated after significant code changes and summarize changes per conventional commits while resolving any open questions with the developer
Phase 1 · Understand the Repository
- Check for existing AGENTS.md
- Use
findalternative (globor repo tree) to discover current files. Determine scope inheritance so you can update or extend instead of duplicating.
- Use
- Read Core Docs
- Skim
README.md,CONTRIBUTING.md, and other onboarding docs for project philosophy, setup, and workflows. - If
docs/ordocumentation/exists, scan for architectural or process references worth surfacing.
- Skim
- Survey Project Layout
- Note primary directories, languages, build targets, and ownership (e.g., "
src/uimaintained by Frontend team"). - Check for
plans/,docs/, or other knowledge directories. Flag must-read files (ADR indexes, architecture overviews, runbooks) to reference later in AGENTS.md.
- Note primary directories, languages, build targets, and ownership (e.g., "
- Build a Git-aware Tree
- Use the
treecommand with the--gitignoreflag (tree ≥ 2.0) so ignored paths stay hidden:tree --gitignore -a -L 3 > tmp/tree.txt. - If your
treebuild lacks--gitignore, runtree -a -L 3 --pruneand manually prune any ignored directories noted in.gitignore, or install an updated version via your package manager. - Capture or trim the output before placing it in AGENTS.md (focus on the top 2–3 levels, and note when you omitted details for brevity).
- Use the
- Identify Automation Runners
- If
Justfileexists, runjust --list(orjust --list --unsortedfor extra notes). - If
Makefileexists (andjustdoes not), runmake helpor inspect phony targets for canonical tasks. - Record which commands are recommended for linting, testing, building, syncing data, etc. Link the definitive task names you surface in your notes for inclusion later.
- If
- Catalog Tooling & Environment
- List required runtimes, package managers, env vars, secrets handling, and local services.
- Note down any
.env.example,config/, or secrets documentation that agents must review.
- Clarify Testing & Quality Gates
- Identify test suites, coverage expectations, linting, formatting, and CI workflows.
- Resolve Ambiguities Early
- Whenever conventions, ownership, or workflows seem unclear, prompt the developer with focused questions before drafting the guide.
- Ask explicitly whether existing
plans/or documentation directories are authoritative or stale, and clarify what canon to reference.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 171 lines · 49 tokens per session scan A e67ec0f947f7
agent-context-generator is a skill published in the GitHub repository majiayu000/claude-skill-registry (606 stars, last pushed today), licensed MIT. It adds 49 tokens to every session and 1,993 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to agent-context-generator, differing in 0 lines, and is treated as a copy.
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