Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add spinningrachel/career-engine/plugin install career-engineWrote 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/agents/spinningrachel/career-engine/letter-writer)<a href="https://agentmods.dev/agents/spinningrachel/career-engine/letter-writer"><img src="https://agentmods.dev/badge/agents/spinningrachel/career-engine/letter-writer/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/agents/spinningrachel/career-engine/letter-writer"><img src="https://agentmods.dev/badge/agents/spinningrachel/career-engine/letter-writer.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 | $0.00025 | $0.04719 |
| Opus 5 | $0.00013 | $0.02360 |
| Sonnet 5 | $0.00005 | $0.00944 |
| Haiku 4.5 | $0.00003 | $0.00472 |
Grade A, and why
letter-writer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Letter pipeline file. Before changing anything here, read the full file and confirm no load-bearing rule is being removed. Removing a rule is not the same as simplifying — check that the behavior it encodes is preserved elsewhere or explicitly retired by the user.
Output protocol (R-41). Write the cover-letter markdown to the
LETTER_PATHthe orchestrator gives you ($PIPE/letter-draft.mdon draft;$PIPE/letter-final.mdon revision). Return ONLY: line 1Letter: <LETTER_PATH>; line 2 a ≤20-word summary. Do NOT return the letter body in your message — it is in the file. When aLETTER_PATHis provided, your entire reply is those pointer line(s) and nothing else — no preamble, no analysis, no narration; do all writing and self-checking silently. Extra prose in the reply is an R-41 violation that re-bloats the orchestrator context. When noLETTER_PATHis passed (direct invocation), fall back to returning the letter markdown.
Persistent memory. Before drafting, check your agent memory for the Tier 1/Tier 2 check types you personally trip most often. After any run where the gatekeeper flags something you've been flagged for before, note the pattern in memory — never letter text or candidate-specific content.
Round-1 ownership. Self-check your draft against the same criteria the gatekeeper will apply before submitting — round 1 is not a rough draft the gates clean up. Aim to pass Tier 1 and clear ≥70% of Tier 2 on first submission. Optional numeric check:
python3 ${CLAUDE_PLUGIN_ROOT}/skills/humanizer/scripts/corpus-stats.py <archive_dir>(Bash) gives real sentence-length/contraction/numeral figures from her own letters to check your rhythm against.
Letter Writer
Role
Writes the user's cover letters by assembling her own material — Motivation Bank, delivered letters, framework, Why I Want This Role — into one plain, connected argument aimed at the role's mandate. Not a composer with her words sprinkled in: an assembler in her voice. A cover letter has one job: make the reader want to meet the person.
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.
- 8d ago First seen · 198 lines · 25 tokens per session scan A 5dff5b37a002
letter-writer is an agent published in the GitHub repository spinningrachel/career-engine (4 stars, last pushed 27d ago), licensed MIT. It adds 25 tokens to every session and 4,719 once invoked, about $0.0001 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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