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 jain777/jobclaw-skills --skill write-cover-lettergit clone --depth 1 https://github.com/jain777/jobclaw-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/jain777/jobclaw-skills/write-cover-letter)<a href="https://agentmods.dev/skills/jain777/jobclaw-skills/write-cover-letter"><img src="https://agentmods.dev/badge/skills/jain777/jobclaw-skills/write-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/jain777/jobclaw-skills/write-cover-letter"><img src="https://agentmods.dev/badge/skills/jain777/jobclaw-skills/write-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 | $0.00074 | $0.01277 |
| Opus 5.5 | $0.00030 | $0.00511 |
| Sonnet 5.5 | $0.00015 | $0.00255 |
| Haiku 4.5 | $0.00007 | $0.00128 |
Grade A, and why
write-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 2mo 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
write-cover-letter
Earn the reader the next 30 seconds. Open with one concrete reason this candidate fits this role at this company. Hard rules: ../_shared/RULES.md. Use Communication / Management / Creative verbs from ../tailor-resume/reference/action-verbs.md.
Inputs
- Profile:
profile/master-profile.md. Readcontext:for direction only — never quote. - Job: pasted JD text, a URL (use
WebFetch), or an entry fromjobs/found-<date>.json. Known-info gate (RULES §6): if no job is given inline, readjobs/current.jsonand use itsjd_text/company/role— do not re-ask for the JD when it's already captured upstream. - Tone:
enthusiastic | confident | concise | warm(default:confident). - Optional sidecar:
resumes/<slug>.tailor.jsonfrom a priortailor-resumerun — reuse its keyword list andbasics_overrides.summaryso the letter and the resume sing the same notes. - Optional score-fit sidecar:
scores/<job-id>.score.json— reusemissing_keywordsto know what the resume already incorporated.
If no job is supplied and jobs/current.json is absent, ask for it; the tone has a safe default.
Method
-
Region note. Read the target region pack:
- US: cover letters role-dependent — stronger for senior, mission-driven, career-change roles. Surface this in the rationale so the user decides whether to send.
- IN: cover letters less emphasized; usually a 2–3 sentence email body suffices. Offer a "short form" alternative if the user wants.
-
Read the JD for 3–5 must-have themes, the JD's tone of voice (formal / casual / mission-led), and any explicit asks ("tell us why you want to work here").
-
Pick two flagship achievements from the profile that map to those themes — each quantified. No invention; if the profile lacks a quantified match, pick the closest qualitative win and flag the gap rather than fabricating a number.
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.
- 2mo ago First seen · 85 lines · 74 tokens per session scan A 41cdc906a01e
write-cover-letter is a skill published in the GitHub repository jain777/jobclaw-skills (7 stars, last pushed 5mo ago), licensed MIT. It adds 74 tokens to every session and 1,277 once invoked, about $0.0003 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 2026-08-31.
write-cover-letter compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| write-cover-letterjain777/jobclaw-skills | Skill | 7 | 5mo ago | MIT | A | 74 | Claude Code |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 316k | 7d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |