Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Remotivated/job-hunt-skillsnpx agentmods add skills/remotivated/job-hunt-skills/cover-letterWrote 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/remotivated/job-hunt-skills/cover-letter)<a href="https://agentmods.dev/skills/remotivated/job-hunt-skills/cover-letter"><img src="https://agentmods.dev/badge/skills/remotivated/job-hunt-skills/cover-letter/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/remotivated/job-hunt-skills/cover-letter"><img src="https://agentmods.dev/badge/skills/remotivated/job-hunt-skills/cover-letter.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 | $0.00044 | $0.01168 |
| Opus 5 | $0.00022 | $0.00584 |
| Sonnet 5 | $0.00009 | $0.00234 |
| Haiku 4.5 | $0.00004 | $0.00117 |
Grade A, and why
cover-letter 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Cover-letter-only entry point. It reuses the resume-tailor cover-letter workflow when the letter is for a specific job, and the resume-builder source-letter workflow when the user is building a reusable letter for a tightly defined lane.
The quality bar is specificity. A missing letter is better than a generic one.
Workflow
State layer: selects a source work document for evidence, may write
my-documents/coverletter.mdormy-documents/applications/{id}/coverletter.md, runs claim-check before save, and may write a numbered report. See state-layer contract.
1. Determine letter type
Classify the request:
- Specific application: user has a company + role, job posting, or application id. Use
resume-tailorcover-letter-only mode. - Source letter for a lane: user has a tight target lane, company type/stage, problem, and proof points, but no specific employer. Use
resume-builderjust-cover-letter mode. - Too broad: user asks for a generic letter for "SaaS jobs", "remote jobs", "leadership roles", or multiple unrelated targets. Pause and ask for specificity.
Minimum specificity:
- Exact role or tight lane (e.g. "early-stage SaaS PM roles," not "tech jobs").
- Concrete company, company type, or stage.
- Two proof points from saved evidence or user-provided facts.
2. Gather evidence
Run node "{job_hunt_skills_root}/scripts/scaffold-state.mjs" if needed.
Select the source work document using state-layer section 6. Read:
- Selected
resume.mdorcv.md. story-bank.md.proof-assets/.- Relevant application folder or company research report when available.
If no source work document exists, offer resume-builder first or proceed on pasted material with limited claim verification.
3. Draft
Write for the employer's problem and the user's proof, not the user's desire for a job.
Structure:
- Hook: company/role need + why the user's experience/skills are relevant.
- Proof paragraph 1: strongest matching achievement.
- Proof paragraph 2: second proof point or honest adjacent strength.
- Fit paragraph: why this role/company/lane makes sense now.
- Close: clear, direct, non-generic.
What ships with it
1 file 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.
- 12d ago First seen · 120 lines · 44 tokens per session scan A b9183a53c910
cover-letter is a skill published in the GitHub repository Remotivated/job-hunt-skills (9 stars, last pushed 20d ago), licensed MIT. It adds 44 tokens to every session and 1,168 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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