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 matteotitta/genesys-skills --skill team-hiringgit clone --depth 1 https://github.com/matteotitta/genesys-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/matteotitta/genesys-skills/team-hiring)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/team-hiring"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/team-hiring/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/matteotitta/genesys-skills/team-hiring"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/team-hiring.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 | $0.00344 | $0.03017 |
| Opus 5 | $0.00172 | $0.01509 |
| Sonnet 5 | $0.00069 | $0.00603 |
| Haiku 4.5 | $0.00034 | $0.00302 |
Grade A, and why
team-hiring 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 12d 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Team hiring
Full-funnel hiring skill. Mode A covers sourcing (JD + interview process + LinkedIn post + optional careers page). Mode B covers batch operations (interview hub per role per sprint) and per-candidate Stage-1 outputs (scorecard from Granola transcript + advance email or decline note). One skill, two operational halves, calibrated per client.
Doctrine inherited (Step 7 — 0626 rollout, locked 2026-06-04)
Output complies with output-tenets.md, output-simplicity.md, ai-speak-anti-patterns.md. Step 6 calibration: see [[feedback_execution_doctrine_refinements_step6]].
Refinements applied: R1 (JD + careers page → end-customer-facing → no sources; interview hub + scorecard → client-team review → cleaned cites in appendix), R2 (Mode A multi-asset pack ships as one doc with toggles per asset: JD + process + LinkedIn post + careers page), R3 (JD opener capability-led, never "we are thrilled to grow our team"), R6 (JD close → application primary CTA), R9 (verb-led role + section names).
Modes
| Mode | Scope | Cadence | Output | Review gate |
|---|---|---|---|---|
| A — Sourcing artefacts | Per role per hiring sprint | Once per role | JD + interview process + LinkedIn post (+ optional careers page) | Gate 3 (public-facing) |
| B — Batch operations | Per batch + per candidate | Per interview cycle (~weekly) | Interview hub (per role) + Stage-1 scorecard (per candidate) + comms draft (per candidate) | Gate 2 (internal + candidate-facing) |
When to run → which mode
| User says | Routes to |
|---|---|
| "create JD for {role}", "hire a {role}", "hiring 3-pack", "careers page" | Mode A |
| "build interview hub for {role}", "set up the {role} hiring batch" | Mode B Step 1 |
| "score this interview", "stage 1 scorecard for {candidate}", "interview debrief" | Mode B Step 2 |
| "draft advance email for {candidate}", "decline note for {candidate}" | Mode B Step 3 |
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.
- 12d ago First seen · 156 lines · 344 tokens per session scan A b1db5c24431f
team-hiring is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 344 tokens to every session and 3,017 once invoked, about $0.0017 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 2026-08-30.
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