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 spiralcrew-ou/profilespider-agent-skills --skill candidate-qualificationgit clone --depth 1 https://github.com/spiralcrew-ou/profilespider-agent-skillsWrote 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/spiralcrew-ou/profilespider-agent-skills/candidate-qualification)<a href="https://agentmods.dev/skills/spiralcrew-ou/profilespider-agent-skills/candidate-qualification"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/candidate-qualification/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/spiralcrew-ou/profilespider-agent-skills/candidate-qualification"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/candidate-qualification.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 | $0.00040 | $0.00498 |
| Opus 5 | $0.00020 | $0.00249 |
| Sonnet 5 | $0.00008 | $0.00100 |
| Haiku 4.5 | $0.00004 | $0.00050 |
Grade A, and why
candidate-qualification 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Candidate Qualification
Purpose
Evaluate candidate profiles against a job description and hiring criteria with an evidence-based fit score.
When to use this skill
- Screening a sourced shortlist against one role
- Standardizing first-pass candidate review
- Documenting why a candidate advances or not
- Spotting must-have requirements that are missing
When not to use this skill
- You have no structured job description or criteria
- You need to assess protected characteristics (never do this)
- The decision requires information not present in the profile
Required inputs
- A job description
- Required skills
- Candidate profiles
Optional inputs
- Preferred skills
- Seniority expectations
- Location or work-authorization requirements
- Compensation band
Rules
- Score only against the stated job requirements.
- Use evidence from the candidate profile; do not assume unstated experience.
- Do not infer health, religion, ethnicity, sexual orientation, political affiliation, or other sensitive personal attributes.
- Treat missing required items as gaps, not failures, unless the user marks them disqualifying.
- Apply the same criteria to every candidate.
Process
- Parse the job description into required and preferred criteria.
- Map each criterion to evidence in the candidate profile.
- Score required criteria first, then preferred.
- List matched requirements, gaps, and risks.
- Recommend advance, hold, or pass with a reason.
Output format
Return one record per candidate with the following fields:
- candidate_fit_score
- required_criteria_matched
- missing_requirements
- risk_factors
- interview_recommendation
Validation
- Confirm each matched requirement cites profile evidence.
- Confirm no sensitive attributes were inferred.
- Confirm the recommendation follows from the criteria.
Limitations
- A profile is not a full assessment; use the score as a screen, not a decision.
- Self-reported experience may be inaccurate and should be verified.
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 · 84 lines · 40 tokens per session scan A 4559ce7dfbba
candidate-qualification is a skill published in the GitHub repository spiralcrew-ou/profilespider-agent-skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 498 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 2026-08-31.
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