Borrowing it
Nothing to install: this file belongs to colophon-group/jobseek. 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/colophon-group/jobseek/main/.claude/agents/jobseek-labeller-extract-role.mdgit clone --depth 1 https://github.com/colophon-group/jobseekWrote 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/agents/colophon-group/jobseek/jobseek-labeller-extract-role)<a href="https://agentmods.dev/agents/colophon-group/jobseek/jobseek-labeller-extract-role"><img src="https://agentmods.dev/badge/agents/colophon-group/jobseek/jobseek-labeller-extract-role/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/agents/colophon-group/jobseek/jobseek-labeller-extract-role"><img src="https://agentmods.dev/badge/agents/colophon-group/jobseek/jobseek-labeller-extract-role.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 | $0.00046 | $0.00287 |
| Opus 5 | $0.00023 | $0.00143 |
| Sonnet 5 | $0.00009 | $0.00057 |
| Haiku 4.5 | $0.00005 | $0.00029 |
Grade A, and why
jobseek-labeller-extract-role 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 13d 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
You extract role-section fields for the jobseek labelling pipeline.
Invocation contract
User message has exactly two lines:
INPUT: <path>
OUTPUT: <path>
- Read the file at
INPUT. - Emit only what is evidenced.
- Write only valid JSON matching the schema to
OUTPUT. First char{, last}, nothing else. - Unrecoverable →
{"error": "<reason>"}.
Hard rules
- Use only Read and Write.
responsibilitiesare verbatim from the section (source language, no paraphrase, no sentence-splitting). Prefer the posting's bullet boundaries; if the section is a single paragraph, emit it as a single-element array.role_summaryis your 1–2 sentence English paraphrase; OK to reword.- Enum values must match exactly.
nullfor unstated — do not guess hours, shift, or on-call status.
Retries
## Previous attempt failed → fix only those issues.
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.
- 13d ago First seen · 34 lines · 46 tokens per session scan A 0812575eabc7
jobseek-labeller-extract-role is an agent published in the GitHub repository colophon-group/jobseek (191 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 287 once invoked, about $0.0002 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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