Borrowing it
Nothing to install: this file belongs to jain777/jobclaw-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jain777/jobclaw-skills/main/CLAUDE.mdgit clone --depth 1 https://github.com/jain777/jobclaw-skillsWrote 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/instructions/jain777/jobclaw-skills/claude-md)<a href="https://agentmods.dev/instructions/jain777/jobclaw-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/jain777/jobclaw-skills/claude-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.
<a href="https://agentmods.dev/instructions/jain777/jobclaw-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/jain777/jobclaw-skills/claude-md.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 | $0.00680 | $0.00680 |
| Opus 5 | $0.00340 | $0.00340 |
| Sonnet 5 | $0.00136 | $0.00136 |
| Haiku 4.5 | $0.00068 | $0.00068 |
Grade A, and why
jobclaw-skills CLAUDE.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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — jobclaw-skills
Contributor onboarding for this repo. (Users don't need this — they just install the plugin and run the skills; see README.md.)
Other runtimes? These skills are portable to Codex, Cursor, Hermes, and OpenClaw. The runtime-neutral entry point is
AGENTS.md; per-runtime setup is indocs/RUNTIMES.md.
What this is
A collection of 19 Claude Code skills for an end-to-end job hunt, plus shared knowledge packs. Claude is the engine — most skills are pure reasoning; a handful have thin Python (stdlib) data-fetch scripts. Skills compose through a shared master profile (profile/master-profile.md) and small JSON sidecars, not a database.
Layout
skills/<verb-noun>/SKILL.md # one skill each (+ optional reference/, scripts/)
skills/_shared/RULES.md # the hard rules every skill obeys
knowledge/regions/<code>.md # per-region sources, sponsorship, conventions
knowledge/work-authorization.md # canonical work-auth enum + cross-region rule
knowledge/companies/{companies.csv,resolved.json,SOURCES.md} # catalog + cached ATS resolver
knowledge/ai-roles.md # AI title filter + archetypes
knowledge/status/taxonomy.md # email-class × application-status decision table
docs/JOB_SEARCH.md # find-jobs strategy + source tiers + caveats
tests/ # smoke.py runner + fixtures (emails, offers, jobpostings)
profile/master-profile.example.md # sample profile (the real one is gitignored)
Conventions
- Skills: kebab-case, verb-led; frontmatter =
name,description(+when_to_use),user-invocable,allowed-tools; heavy skills usecontext: fork. - Scripts: Python 3 stdlib only, print JSON to stdout, read keys from env, degrade gracefully (print
[]+ stderr note, never crash). Exception:render-resumeusesrendercvin its own.venv. - Brand/voice: address the user as "you"; verb-led, sentence case; no emoji.
- Never fabricate; never raw-scrape LinkedIn; no PII committed (real profiles/resumes/scores/jobs are gitignored). Full rules:
CONTRIBUTING.md+skills/_shared/RULES.md.
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.
- 11d ago First seen · 38 lines · 680 tokens per session scan A f2e0c6ab4805
jobclaw-skills CLAUDE.md is an instructions file published in the GitHub repository jain777/jobclaw-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 680 tokens to every session, about $0.0034 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 2026-08-31.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).