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.
npx agentmods add commands/soheilfallah/jobxhunter/intakegit clone --depth 1 https://github.com/soheilfallah/jobxhunterWrote 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/soheilfallah/jobxhunter/intake)<a href="https://agentmods.dev/commands/soheilfallah/jobxhunter/intake"><img src="https://agentmods.dev/badge/commands/soheilfallah/jobxhunter/intake.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 | $0.00016 | $0.00279 |
| Opus 5 | $0.00008 | $0.00139 |
| Sonnet 5 | $0.00003 | $0.00056 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
intake scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Use the jobxhunter skill's INTAKE routine to build/enrich the master profile from the user's
<workspace>/dump/ folder.
- Scan first:
python "${CLAUDE_PLUGIN_ROOT}/scripts/dump_manifest.py" scan --workspace <root>— read thenew/updatedfiles, handleunreadableones (placeholders already created), skipingested. - Extract only real facts; synthesise or merge into
profiles/<name>.mdperreferences/master-profile-schema.md; mark each fileingestedand log toprofiles/_intake/CHANGELOG.md. - Run the profile enrichment interview (
references/profile-intake.md) — ask targeted starter questions wherever a bullet is unquantified, a skill has no project behind it, or a target is unset, and write answers straight into the profile. This is what keeps later CVs and cover letters concrete. - Detect the market, surface gaps in one neutral batch, then hand off.
Follow SKILL.md ("Command: INTAKE") and references/profile-intake.md exactly.
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.
- 5d ago First seen · 19 lines · 16 tokens per session scan A adf4ad165834
intake is a command published in the GitHub repository soheilfallah/jobxhunter (8 stars, last pushed 9d ago), licensed MIT. It adds 16 tokens to every session and 279 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 2026-08-31.
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