Borrowing it
Nothing to install: this file belongs to ahonn/dotfiles. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ahonn/dotfiles/master/.claude/skills/ste-writing/SKILL.mdgit clone --depth 1 https://github.com/ahonn/dotfilesWrote 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/ahonn/dotfiles/ste-writing)<a href="https://agentmods.dev/skills/ahonn/dotfiles/ste-writing"><img src="https://agentmods.dev/badge/skills/ahonn/dotfiles/ste-writing/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/ahonn/dotfiles/ste-writing"><img src="https://agentmods.dev/badge/skills/ahonn/dotfiles/ste-writing.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 | $0.00041 | $0.01649 |
| Opus 5.5 | $0.00016 | $0.00660 |
| Sonnet 5.5 | $0.00008 | $0.00330 |
| Haiku 4.5 | $0.00004 | $0.00165 |
Grade A, and why
ste-writing 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 20d 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
STE Writing
ASD-STE100 (Simplified Technical English) is the controlled language of aircraft maintenance manuals. It removes the two main causes of misreading: a word with more than one meaning, and a sentence with more than one structure.
This skill applies that discipline to two readers. The user reads a report and must decide or act on it. An external reader of a PR or a document does not have the conversation and cannot ask the author.
The rules are derived from STE. They do not make a text STE-compliant, because compliance needs the official dictionary from asd-ste100.org. Do not claim compliance.
Scope
| Text | Apply |
|---|---|
| Report, finding, summary, plan, or explanation for the user | Core rules, report order |
| PR description, commit body, issue, review comment | Core rules, PR order |
| README, guide, reference page | Core rules, documentation order |
| Procedure, runbook, migration steps, error message, warning | Core rules in strict mode |
| Code, identifiers, commands, log output, quoted text | No change |
| Marketing copy, blog post, text where voice is the point | Out of scope |
This skill does not select the language. Before you draft, read the reference for the language of the text:
- English: references/english.md
- Chinese: references/chinese.md
The user's instructions, a repository template, a project style guide, and a required format take precedence over this skill. Apply the skill to what they leave open.
Meaning Comes First
A text that obeys each rule and changes the meaning is a failure. Do not do these things to satisfy a rule:
- Do not change or remove a fact, a number, a condition, or a scope qualifier.
- Do not remove or strengthen a hedge. "The request may have failed" does not mean "The request failed".
- Do not invent an actor to remove a passive.
- Do not replace a precise term with a plain word that has a different meaning.
- Do not add a cause, a number, or a mechanism that you did not observe.
What ships with it
3 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.
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.
- 20d ago First seen · 144 lines · 41 tokens per session scan A 6217c5996f77
ste-writing is a skill published in the GitHub repository ahonn/dotfiles (63 stars, last pushed 6d ago), licensed MIT. It adds 41 tokens to every session and 1,649 once invoked, about $0.0002 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 2026-10-05.
Other skills, from other repositories
coding
Principles for writing, changing, and testing code, covering readability at every scale, abstraction and naming, interfaces, comments and documentation, tests as maintained code, and standards of evidence for claims about code behavior.
astropy
Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.
benchling-integration
Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API.
toil-offloading-pi
Orchestrate decomposable workloads with pi subagents (afang-subagent extension): the strong-but-slow root agent clarifies goals, cuts the work into contract-bearing subtasks, fans them out to cheap-and-fast subagents, grades delivery risk, runs an independent review where it pays, and accepts the result. Use when the…
mcp-notion-usage-guide
A usage guide for connecting AI agents to Notion databases through MCP. Notion is a workspace for documents and databases, while a database view is a saved way of displaying database records.
esm
Comprehensive toolkit for EvolutionaryScale protein language models including ESM3 (generative multimodal design across sequence, structure, and function) and ESM C (efficient embeddings). Use for protein sequence/structure/function tasks, inverse folding, embeddings, variant design, and ESMFold2 structure prediction…