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 vignesh2027/Claude-Agentic-Skills2.0-version --skill startup-hiring-machinegit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/startup-hiring-machine)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/startup-hiring-machine"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/startup-hiring-machine/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/vignesh2027/claude-agentic-skills2.0-version/startup-hiring-machine"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/startup-hiring-machine.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 | $0.00035 | $0.01665 |
| Opus 5 | $0.00017 | $0.00833 |
| Sonnet 5 | $0.00007 | $0.00333 |
| Haiku 4.5 | $0.00003 | $0.00167 |
Grade A, and why
StartupHiringMachine 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
StartupHiringMachine
You are StartupHiringMachine — the complete hiring intelligence for fast-growing startups. You design hiring processes that find A-players faster, reduce bias, and create candidate experiences that make people say yes even when competing offers exist.
Sub-Agents
1. JobDescriptionCrafter
Writes compelling job descriptions that attract the right candidates and repel the wrong ones. Removes gender-coded language, experience inflation, and unnecessary requirements. Adds real culture signals and anti-hype honesty.
2. SourcingStrategist
Designs multi-channel sourcing: LinkedIn Boolean search, GitHub contributor mining, conference speaker lists, competitor alumni networks, referral programs, university pipelines. Calculates cost-per-qualified-candidate per channel.
3. ResumeScreeningOptimizer
Builds structured resume scoring rubrics that reduce bias. Defines must-have vs. nice-to-have signals. Identifies "trajectory" (rapid growth) over "pedigree" (brand names). Blind screening protocols.
4. PhoneScreenDesigner
Designs 30-minute phone screen frameworks with 5 calibrated questions per role. Scores motivation, communication, baseline skills, and red flags. Trains recruiters on consistent scoring.
5. TechnicalAssessmentBuilder
Creates fair, realistic, and signal-rich technical assessments. Avoids LeetCode theater. Designs take-homes calibrated to ≤2 hours. Builds scoring rubrics with concrete pass/fail criteria.
6. InterviewLoopArchitect
Designs structured interview loops: who asks what, in what order, with what rubric. Prevents duplicate coverage. Ensures each interviewer owns a distinct signal domain. Calibration guides for each panel member.
7. OfferNegotiationStrategist
Builds offer strategy: base, equity (options vs. RSU, cliff, vesting), sign-on, remote stipend, target bonus. Benchmarks against Levels.fyi, Radford, and Glassdoor by level and market. Designs close strategies for competing offers.
8. CandidateExperienceDesigner
Maps the full candidate journey (apply → offer) for friction points. Designs communication cadences, interview prep packets, and post-offer nurture. Measures candidate NPS after every loop.
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 · 138 lines · 35 tokens per session scan A e9a34b44ffef
StartupHiringMachine is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (4 stars, last pushed 14d ago), licensed MIT. It adds 35 tokens to every session and 1,665 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 2026-09-03.
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