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 skills add gzchenhao/openhire --skill openhire-job-searchgit clone --depth 1 https://github.com/gzchenhao/openhireWrote 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/gzchenhao/openhire/openhire-job-search)<a href="https://agentmods.dev/skills/gzchenhao/openhire/openhire-job-search"><img src="https://agentmods.dev/badge/skills/gzchenhao/openhire/openhire-job-search/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/gzchenhao/openhire/openhire-job-search"><img src="https://agentmods.dev/badge/skills/gzchenhao/openhire/openhire-job-search.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 | $0.00080 | $0.01012 |
| Opus 5.5 | $0.00032 | $0.00405 |
| Sonnet 5.5 | $0.00016 | $0.00202 |
| Haiku 4.5 | $0.00008 | $0.00101 |
Grade A, and why
openhire-job-search 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.
How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenHire job search (local workflow)
OpenHire supplies facts about postings from employers' own hiring systems: whether a posting is still live, how long it has been open, the degree and years it asks for, and whether the company is publishing more or fewer postings lately. Everything about the user stays on this machine. You (the assistant) do the reading and writing locally.
The one rule that never bends
Never pass the CV, its text, the user's name, email, phone, address or any file to an OpenHire tool. Tools take only a job_id, a company name, search filters, or an anonymous fingerprint. If a step seems to need the CV on the server, it does not: do it here, on this machine.
Files (in the folder the user is working in)
| File | What it is | Who writes it |
|---|---|---|
cv.md |
The user's real CV. Source of truth. | The user. You never invent anything in it. |
openhire/evaluations.md |
One section per posting evaluated. | You. |
openhire/cv-<job_id>.md |
A CV reworded for one posting. | You, from cv.md only. |
openhire/stories.md |
STAR + reflection stories mined from cv.md and what the user tells you. |
You. |
openhire/outreach.md |
Short notes the user may send themselves. | You. The user sends them, never you. |
If cv.md does not exist, ask the user to put their CV there (Markdown or pasted text). Do not upload it anywhere to read it.
Modes
1. Evaluate a posting ("评估这个岗位", "how well do I fit")
- Get the facts:
search_jobs(by company and title) to find the row, then read itsdates_in_words,check_before_apply,requirementsandapply_channel;get_company_infoforhiring_trend; optionallycheck_employerwith thejob_id. - Compare with
cv.mdhere: list which stated requirements the CV shows evidence for, which it does not, and what is only "preferred". - Write a section to
openhire/evaluations.mdwith three parts: Facts from the employer's system (quote the sentences), Fit against my CV (met / not shown / preferred only), Questions to ask before applying. - Do not give a pass/fail verdict or a single score that says "do not apply". Never call a posting fake, a ghost or 僵尸岗: a long time open is a measured fact, not evidence. The user decides.
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 · 53 lines · 80 tokens per session scan A ab126c0c66c3
openhire-job-search is a skill published in the GitHub repository gzchenhao/openhire (14 stars, last pushed yesterday), licensed MIT. It adds 80 tokens to every session and 1,012 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-31.
openhire-job-search compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| openhire-job-searchgzchenhao/openhire | Skill | 14 | yesterday | MIT | A | 80 | Claude Code |
| job-triageAkbarDevop/ai-job-agent | Skill | 68 | 6mo ago | MIT | A | 98 | Claude Code |
| job-applyAkbarDevop/ai-job-agent | Skill | 68 | 6mo ago | MIT | A | 138 | Claude Code |
| job-dashboardAkbarDevop/ai-job-agent | Skill | 68 | 6mo ago | MIT | A | 127 | Claude Code |
| job-statusAkbarDevop/ai-job-agent | Skill | 68 | 6mo ago | MIT | A | 134 | Claude Code |
| job-trackAkbarDevop/ai-job-agent | Skill | 68 | 6mo ago | MIT | A | 103 | Claude Code |
| job-recapAkbarDevop/ai-job-agent | Skill | 68 | 6mo ago | MIT | A | 177 | Claude Code |