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.
git clone --depth 1 https://github.com/extrasmall0/dear-hiring-managerWrote 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/commands/extrasmall0/dear-hiring-manager/onboard)<a href="https://agentmods.dev/commands/extrasmall0/dear-hiring-manager/onboard"><img src="https://agentmods.dev/badge/commands/extrasmall0/dear-hiring-manager/onboard/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/commands/extrasmall0/dear-hiring-manager/onboard"><img src="https://agentmods.dev/badge/commands/extrasmall0/dear-hiring-manager/onboard.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 | $0.00027 | $0.00071 |
| Opus 5.5 | $0.00011 | $0.00028 |
| Sonnet 5.5 | $0.00005 | $0.00014 |
| Haiku 4.5 | $0.00003 | $0.00007 |
Grade A, and why
onboard 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 1mo 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.
What it actually says
Use the onboarding skill to build or edit ~/.dear-hiring-manager/profile.md.
If a profile already exists, offer to review or edit specific sections instead of starting over.
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.
- 1mo ago First seen · 8 lines · 27 tokens per session scan A bf45c81e58bf
onboard is a command published in the GitHub repository extrasmall0/dear-hiring-manager (111 stars, last pushed 3mo ago), licensed MIT. It adds 27 tokens to every session and 71 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other commands, from other repositories
writing-coach
Human-voice writing coach — rewrite resumes and cover letters with brevity, burstiness, plain language, and authentic impact. Blocks AI-sounding prose.
tailor-resume
Tailor a resume to a job description, score it against ATS and HR rubrics, create a DOCX, and update the tracker.
job-hunt
A command for searching for jobs each day and tracking the application process. The input also refers to candidate details and companies already contacted.
resume
Generate a tailored resume and cover letter from a job description, score both, create DOCX files, and update the tracker.
resume-team
Run the role-separated, fail-closed Resume Team workflow against a job description.
triage-inbox
Sort application mail into the freehire tracker and drain the link queues.