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 bahayonghang/academic-writing-skills --skill cover-lettergit clone --depth 1 https://github.com/bahayonghang/academic-writing-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/bahayonghang/academic-writing-skills/cover-letter)<a href="https://agentmods.dev/skills/bahayonghang/academic-writing-skills/cover-letter"><img src="https://agentmods.dev/badge/skills/bahayonghang/academic-writing-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/bahayonghang/academic-writing-skills/cover-letter"><img src="https://agentmods.dev/badge/skills/bahayonghang/academic-writing-skills/cover-letter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00082 | $0.02611 |
| Opus 5 | $0.00041 | $0.01306 |
| Sonnet 5 | $0.00016 | $0.00522 |
| Haiku 4.5 | $0.00008 | $0.00261 |
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 yesterday.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
48 files 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.
- agents/claims_evidence_reviewer_agent.md 1.2 KB
- agents/committee_editor_agent.md 2.1 KB
- agents/openai.yaml 455 B
- evals/evals.json 8.0 KB
- evals/fixtures/ai_slop_letter.md 617 B
- evals/fixtures/align_check_fixture_letter.md 1.2 KB
- evals/fixtures/disclosure_fixture.tex 478 B
- evals/fixtures/generate_fixture.tex 2.5 KB
- evals/fixtures/human_letter.md 1.1 KB
- evals/fixtures/journal_fit_fixture_letter.md 806 B
- evals/fixtures/multifile/main.tex 480 B
- evals/fixtures/multifile/sections/abstract.tex 260 B
- evals/fixtures/multifile/sections/experiments.tex 221 B
- evals/fixtures/optimize_fixture_letter.md 1.3 KB
- evals/fixtures/thanks_author_fixture.tex 1.2 KB
- evals/trigger_eval.json 3.6 KB
- examples/align-check-only.md 776 B
- examples/generate-nature.md 1.2 KB
- examples/journal-fit-cvpr-vs-tpami.md 806 B
- examples/optimize-and-align.md 935 B
- references/ai-disclosure-policy.md 987 B
- references/CLAIM_EVIDENCE_CONTRACT.md 3.7 KB
- references/FORBIDDEN_PHRASES.md 3.0 KB
- references/ISSUE_SCHEMA.md 4.4 KB
- references/JOURNAL_TIERS.md 5.8 KB
- references/LETTER_STRUCTURE.md 3.1 KB
- references/MODE_GUIDE.md 9.6 KB
- references/PRESUBMISSION_RULES.md 10.0 KB
- scripts/align_check.py 16 KB runs code
- scripts/build_letter_claim_map.py 15 KB runs code
- scripts/cover_letter.py 9.7 KB runs code
- scripts/extract_manuscript_facts.py 12 KB runs code
- scripts/journal_fit_check.py 18 KB runs code
- scripts/parsers.py 30 KB runs code
- scripts/presubmission_check.py 28 KB runs code
- scripts/template_meta.py 2.8 KB runs code
- scripts/tex_loader.py 8.1 KB runs code
- scripts/verify_letter_against_manuscript.py 12 KB runs code
- templates/acm.md 2.3 KB
- templates/cell.md 2.5 KB
- templates/cvpr.md 1.5 KB
- templates/generic.md 1.6 KB
- templates/icml.md 1.4 KB
- templates/ieee-trans.md 3.0 KB
- templates/nature.md 3.8 KB
- templates/neurips.md 1.7 KB
- templates/science.md 2.8 KB
- templates/springer-lncs.md 1.5 KB
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.
- yesterday Changed · +8 lines f0a702332b78
- 12d ago First seen · 119 lines · 82 tokens per session scan A 76e3c809a5e6
cover-letter is a skill published in the GitHub repository bahayonghang/academic-writing-skills (456 stars, last pushed yesterday), with no licence file. It adds 82 tokens to every session and 2,611 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
latex-compile
Compile a LaTeX document and fix every error plus aesthetic issue (overfull/underfull boxes, widows, alignment, fonts) for a clean PDF and log. Use this instead of running pdflatex/latexmk manually — it avoids the latexmk stale-log trap and silent grep failures on binary log output, and it reformats rather than…
nb-to-wolfbook
Convert Mathematica .nb or .m files to Wolfbook .wb format so they open and run in VS Code. Use when bringing existing .nb/.m files into Wolfbook, or to make an existing .wb bridge-safe.
sync-wb-nb
Propagate a change made in a Wolfbook .wb notebook into the paired .nb notebook so the two stay identical. Use immediately after every .wb edit.
wolfram-headless
Run heavy Wolfram Language (wolframscript) computations from Claude Code reliably, and diagnose the misleading "The product exited because of a license error". Use whenever invoking wolframscript on a non-trivial computation, when a wolframscript job dies with a "license error" despite a valid license, or when Wolfram…
cross-validate
Format a result, derivation, or numerical value for independent verification by a second model. Use when you want a cross-check on an important or contested result.
verify-citation
Confirm a paper actually exists (arXiv / Semantic Scholar / OpenAlex) before citing it. Use before writing any new citation.