Borrowing it
Nothing to install: this file belongs to Zetetic-Dhruv/witness-mcp. 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/Zetetic-Dhruv/witness-mcp/main/.claude/skills/apply-to-job/SKILL.mdgit clone --depth 1 https://github.com/Zetetic-Dhruv/witness-mcpWrote 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/zetetic-dhruv/witness-mcp/apply-to-job)<a href="https://agentmods.dev/skills/zetetic-dhruv/witness-mcp/apply-to-job"><img src="https://agentmods.dev/badge/skills/zetetic-dhruv/witness-mcp/apply-to-job/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/zetetic-dhruv/witness-mcp/apply-to-job"><img src="https://agentmods.dev/badge/skills/zetetic-dhruv/witness-mcp/apply-to-job.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 | $0.00058 | $0.00371 |
| Opus 5 | $0.00029 | $0.00186 |
| Sonnet 5 | $0.00012 | $0.00074 |
| Haiku 4.5 | $0.00006 | $0.00037 |
Grade A, and why
apply-to-job 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.
What it actually says
apply-to-job
Steps
- Run:
python -m src.cli --data-dir <folder> apply --url "<JOB_URL>" --company "<Name>"- Greenhouse + Ashby return the company's exact fields (incl. custom questions); others return a
complete standard set. Output →
<folder>/applications/<company>.json. - If the result has
fetch_failed: true, the real form couldn't load — tell the user, and have them verify the actual questions on the apply page. Do NOT present generic fields as the real form.
- Greenhouse + Ashby return the company's exact fields (incl. custom questions); others return a
complete standard set. Output →
- Read the JSON and present it as a clean field → value list. Then:
- Fill
needs_input(required) andreview(e.g. salary, notice, relocation) with the user — never guess. - The
nontrivialblock holds a reframe, a product teardown, a proof-map, and honest risks. Use itswhy_usfor the motivation field; tailor further with make-nontrivial / tailor-answer.
- Fill
- Give them the
apply_urland remind them: nothing is auto-submitted — they review and click submit. - Log it in
<folder>/memory/job-hunt-status.md.
Truthful to <folder>/profile.json only. With ANTHROPIC_API_KEY set, add --llm to auto-draft open answers.
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 · 22 lines · 58 tokens per session scan A 804ac12b3b29
apply-to-job is a skill published in the GitHub repository Zetetic-Dhruv/witness-mcp (0 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 58 tokens to every session and 371 once invoked, about $0.0003 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.
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