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 Comradery64/open-greenhouse-mcp --skill greenhouse-pipeline-searchgit clone --depth 1 https://github.com/Comradery64/open-greenhouse-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/comradery64/open-greenhouse-mcp/greenhouse-pipeline-search)<a href="https://agentmods.dev/skills/comradery64/open-greenhouse-mcp/greenhouse-pipeline-search"><img src="https://agentmods.dev/badge/skills/comradery64/open-greenhouse-mcp/greenhouse-pipeline-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/comradery64/open-greenhouse-mcp/greenhouse-pipeline-search"><img src="https://agentmods.dev/badge/skills/comradery64/open-greenhouse-mcp/greenhouse-pipeline-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 | $0.00153 | $0.00774 |
| Opus 5 | $0.00077 | $0.00387 |
| Sonnet 5 | $0.00031 | $0.00155 |
| Haiku 4.5 | $0.00015 | $0.00077 |
Grade A, and why
greenhouse-pipeline-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 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.
How it starts
The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Greenhouse pipeline search
Finds candidates across a pipeline (or across all pipelines) matching criteria the recruiter cares about, without them having to manually scroll through Greenhouse.
When this applies
Trigger when the user is looking for candidates that match some filter — a skill, years of experience, location, current stage, source, or a combination. If they name one specific person, that's greenhouse-candidate-screening instead. If they want you to review an entire unfiltered batch of resumes for a role (no specific filter, just "look at everyone"), that's greenhouse-resume-batch-review.
How to do it
- Clarify scope if it's ambiguous: which job/pipeline (or "all"), and what the actual filter criteria are. If the user says something vague like "find good candidates," ask what "good" means for this search (specific skills? years of experience? something else?) rather than inventing criteria — a wrong guess wastes their time reviewing results that don't match what they meant.
- Use
search_pipeline_candidatesfor criteria-based search within a pipeline, orscan_pipeline_resumeswhen the match criteria live in resume content itself (e.g. specific technologies, certifications, or experience described in free text rather than structured fields). - If the user's criteria span multiple pipelines/jobs, run the search per job and combine — don't silently narrow to just one job because it's easier.
- Rank or order the results in a way that's actually useful — e.g. best-match first, or by pipeline stage — rather than returning them in raw API order.
Output format
## Pipeline search — [criteria] in [job/pipeline scope]
Found N matching candidates:
| Candidate | Stage | Why they match |
|---|---|---|
| [name] | [stage] | [specific evidence from resume/profile, not a generic restatement of the criteria] |
If zero candidates match, say so plainly and suggest loosening the criteria — don't pad the response with near-misses unless you also label them clearly as near-misses.
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 · 40 lines · 153 tokens per session scan A 54ad68b9e427
greenhouse-pipeline-search is a skill published in the GitHub repository Comradery64/open-greenhouse-mcp (0 stars, last pushed 8d ago), licensed MIT. It adds 153 tokens to every session and 774 once invoked, about $0.0008 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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