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.
git 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/commands/squerne/open-career-skills/optimize-cv)<a href="https://agentmods.dev/commands/squerne/open-career-skills/optimize-cv"><img src="https://agentmods.dev/badge/commands/squerne/open-career-skills/optimize-cv.svg" alt="Measured on agentmods" 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 | $0.00014 | $0.00156 |
| Opus 5 | $0.00007 | $0.00078 |
| Sonnet 5 | $0.00003 | $0.00031 |
| Haiku 4.5 | $0.00001 | $0.00016 |
Grade A, and why
optimize-cv 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 6d 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.
What it actually says
Use the ruthless-cv-optimizer skill (.claude/skills/ruthless-cv-optimizer/SKILL.md) exactly as written.
- CV source:
profile/profile.md(run/setupfirst if it's still the empty template). - Job description: $ARGUMENTS if provided, otherwise ask the user to paste it.
- Respect the skill's hard stop: Phase 1 ends the turn with the gap analysis and questions; Phase 2 runs only after the user replies.
- Save the final CV to
output/per the skill's instructions.
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.
- 6d ago First seen · 12 lines · 14 tokens per session scan A ccea6432940f
optimize-cv is a command published in the GitHub repository squerne/open-career-skills (22 stars, last pushed 1mo ago), licensed MIT. It adds 14 tokens to every session and 156 once invoked, about $0.0001 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.
Other commands, from other repositories
start
Onboard with Rebound — capture your base resume and build your private profile (skills, differentiators, and situation).
track
Record or update a job application in your local tracker so it shows on the Rebound dashboard.
match
Score how well roles fit you (50–90%+) and rank them — paste roles/URLs now; web-crawling discovery is on the roadmap.
profile
View or update your Rebound profile — skills, differentiators, and your private situation (work authorization, timeline).
rise
A supportive, practical check-in — momentum, next best action, and a plan that respects your runway. Knocked down, not out.
awesome-chatgpt
Search awesome-ChatGPT-repositories for open-source GitHub repositories related to ChatGPT and LLMs.