Borrowing it
Nothing to install: this file belongs to squerne/open-career-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/squerne/open-career-skills/main/CLAUDE.mdgit clone --depth 1 https://github.com/squerne/open-career-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/squerne/open-career-skills/claude-md)<a href="https://agentmods.dev/instructions/squerne/open-career-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/squerne/open-career-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/squerne/open-career-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/squerne/open-career-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 | $0.01014 | $0.01014 |
| Opus 5 | $0.00507 | $0.00507 |
| Sonnet 5 | $0.00203 | $0.00203 |
| Haiku 4.5 | $0.00101 | $0.00101 |
Grade A, and why
open-career-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 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.
How it starts
The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Open Career Skills workspace
This is a career workspace, not a codebase. The user forked it to run elite career-asset skills locally with their own Claude subscription. Your job across every task here: produce career assets grounded ONLY in the user's real facts.
The one law of this workspace
Never invent a fact about the user. No numbers, no titles, no achievements, no enthusiasm they didn't express. When a fact is missing, ask, or leave a visible [add ...] placeholder. A polished fabrication is the worst output this workspace can produce; recruiters reject it and interviews expose it.
Corollary (groundedness): every factual claim in a generated asset must trace to a line in the profile, the story bank, or the user's own answers. The /apply pipeline enforces this with an independent reviewer; hold yourself to the same bar everywhere else.
Layout and state
profile/profile.md: the user's career profile, created by/setupfromprofile/profile.template.md. Read it before any career task. If it doesn't exist, suggest/setupfirst.story-bank/: one STAR story per file, namedYYYY-MM-short-slug.md(format instory-bank/README.md). This is the user's achievement memory; skills read it for evidence and write to it via extraction.content/calendar.md: LinkedIn pillars and post log, created fromcontent/calendar.template.mdon first use.tracker/applications.md: the application log, created fromtracker/applications.template.mdby/apply. The memory of the pipeline: dedup for/find-jobs, rehearsal targets for the mock interviewer, gap history for/upskill.output/: generated CVs, cover letters, interview debriefs, per-application folders (output/apply-<company>/).documents/: (optional, user-created) source materials like an exported CV.docs/: WORKFLOW.md (the pipeline), SKILLS.md (per-skill contracts), TROUBLESHOOTING.md.
Privacy invariant: .gitignore keeps profile/profile.md, personal story-bank/*.md files, content/calendar.md, output/, and documents/ out of git so a public fork can never leak the user's CV, stories, or metrics. Never weaken those rules, never write personal data into a *.template.md file, and never stage an ignored file with git add -f.
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 · 48 lines · 1,014 tokens per session scan A 823b8e8f7fcb
open-career-skills CLAUDE.md is an instructions file published in the GitHub repository squerne/open-career-skills (22 stars, last pushed 1mo ago), licensed MIT. It adds 1,014 tokens to every session, about $0.0051 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 2026-08-30.
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