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 OneWave-AI/claude-skills --skill hiring-scorecardgit clone --depth 1 https://github.com/OneWave-AI/claude-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/onewave-ai/claude-skills/hiring-scorecard)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/hiring-scorecard"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/hiring-scorecard/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/onewave-ai/claude-skills/hiring-scorecard"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/hiring-scorecard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00051 | $0.00614 |
| Opus 5 | $0.00026 | $0.00307 |
| Sonnet 5 | $0.00010 | $0.00123 |
| Haiku 4.5 | $0.00005 | $0.00061 |
Grade A, and why
hiring-scorecard 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 9d 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 — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hiring Scorecard Generator
Build a structured, bias-reducing hiring scorecard that lets an interview panel make consistent, evidence-based decisions for any role.
Contents
references/output-template.md-- the full 9-sectionscorecard.mdstructure with every block, table, and per-section guideline.references/competency-library.md-- which competencies to score by role type (technical IC, non-technical IC, manager, executive).references/usage-and-customization.md-- how to use the output, focus modes, biases prevented, format adaptations, and legal/compliance reminders.
Inputs
Job Title and Requirements are required; ask before generating if either is missing. The rest sharpen the output: Team Context, Level/Seniority, Role Type, Industry, Interview Panel, Compensation Band, Urgency/Timeline.
Workflow
- Gather role context. Confirm job title, level, team structure, reporting line, and business need. Ask for missing required inputs.
- Define criteria. Separate must-have from nice-to-have qualifications, each specific and observable with a verification method. See
references/output-template.mdSection 2. - Select competencies. Choose 6-10 competencies for the role using
references/competency-library.md. - Build the scoring rubric. Anchor each competency to the 1-5 behavioral scale. See
references/output-template.mdSection 3. - Generate interview questions. Write 3-4 behavioral/situational questions per competency with follow-up probes and "what good/bad looks like". See
references/output-template.mdSection 4. - Create the evaluation matrix. Produce the independent interviewer scoresheet. See Section 5.
- Identify flags. List 8-12 concrete red flags and 8-12 green flags tied to observable behavior. See Section 6.
- Draft reference checks. Produce targeted reference questions that surface real signal. See Section 7.
- Add debrief guide and appendix. Include the debrief agenda, decision framework, anti-bias checklist, scoring calculator, and panel/comparison templates. See Sections 8-9.
- Write the file. Output a single
scorecard.mdin the working directory (or a user-specified path), assembled from all nine sections and ready to hand to a panel without further editing.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 36 lines · 51 tokens per session scan A 1cf6df5aa486
hiring-scorecard is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 614 once invoked, about $0.0003 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 2026-09-03.
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