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/AGENTS.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/agents-md)<a href="https://agentmods.dev/instructions/jain777/jobclaw-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/jain777/jobclaw-skills/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.
<a href="https://agentmods.dev/instructions/jain777/jobclaw-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/jain777/jobclaw-skills/agents-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 | $0.01219 | $0.01219 |
| Opus 5 | $0.00609 | $0.00609 |
| Sonnet 5 | $0.00244 | $0.00244 |
| Haiku 4.5 | $0.00122 | $0.00122 |
Grade A, and why
jobclaw-skills 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 10d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — JobClaw by whatNxtAI
Universal, runtime-neutral instructions for any coding/agent runtime that reads AGENTS.md
(Codex, Cursor, Hermes, OpenClaw, and friends). Claude Code reads CLAUDE.md; both point at the
same skills. For per-runtime setup, see docs/RUNTIMES.md.
What this repo is
JobClaw by whatNxtAI is a collection of 20 portable Agent Skills that run an end-to-end job
hunt — onboarding a profile, searching jobs, scoring fit, tailoring resumes, writing cover letters,
answering application questions, triaging the recruiter inbox, prepping interviews, and coaching
negotiation — plus shared knowledge packs. The LLM is the engine: ~14 of the 20 skills are pure
reasoning and need no external API key. Only job search and company research use optional data-API
keys (copy .env.example → .env).
These skills are runtime-agnostic. Each is a SKILL.md directory under skills/, written to the
open agent-skills standard (name + description frontmatter, markdown body, optional scripts/
and reference/). Nothing here depends on a specific agent framework.
How skills work here
- Discovery / invocation. Skills live in
skills/<verb-noun>/SKILL.md. Invoke one when the task matches itsdescription(auto), or explicitly by name. Each skill ends by naming the next step in the pipeline. Cross-runtime discovery paths and invocation syntax are indocs/RUNTIMES.md. - Composition is file-based, not call-based. Skills do not invoke each other through a
framework API. They compose via small JSON sidecars at fixed paths and one shared master
profile — so the chain works identically on any runtime. The full stage map is in
knowledge/pipeline.md. Key sidecars:profile/master-profile.md— the shared memorybuild-profilewrites and every skill reads.jobs/current.json— the job under work ({company, role, url, job_id, jd_text, region, …}).scores/<job-id>.score.json—score-fit→tailor-resume.resumes/<slug>.tailor.json—tailor-resume→write-cover-letter.companies/<slug>.json—research-company→prep-interview/coach-negotiation.inbox/triage-<YYYY-MM-DD>.json—triage-inbox→infer-status/draft-reply.
- Scripts. Thin Python 3 stdlib-only helpers under
skills/*/scripts/— run them withpython3. They print JSON to stdout, read keys from env, and degrade gracefully (never crash) when a key or dependency is missing. The one exception isrender-resume, which uses rendercv in its own.venv(optional; install only if you need resume PDFs). Runpython3 scripts/doctor.pyto see what's installed.
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.
- 10d ago First seen · 73 lines · 1,219 tokens per session scan A c3f4a129aa0e
jobclaw-skills AGENTS.md is an instructions file published in the GitHub repository jain777/jobclaw-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 1,219 tokens to every session, about $0.0061 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.
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).
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.