Borrowing it
Nothing to install: this file belongs to lootlog/monorepo. 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/lootlog/monorepo/main/.agents/skills/technical-writing/SKILL.mdgit clone --depth 1 https://github.com/lootlog/monorepoWrote 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/lootlog/monorepo/technical-writing)<a href="https://agentmods.dev/skills/lootlog/monorepo/technical-writing"><img src="https://agentmods.dev/badge/skills/lootlog/monorepo/technical-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/lootlog/monorepo/technical-writing"><img src="https://agentmods.dev/badge/skills/lootlog/monorepo/technical-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 | $0.00043 | $0.00263 |
| Opus 5.5 | $0.00017 | $0.00105 |
| Sonnet 5.5 | $0.00009 | $0.00053 |
| Haiku 4.5 | $0.00004 | $0.00026 |
Grade A, and why
technical-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 1mo 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.
What it actually says
Technical writing
Write for a tired engineer who needs the point quickly.
Pick the document mode
- Tutorial: teach by producing visible results.
- How-to: give steps toward a concrete goal.
- Reference: state complete facts for lookup.
- Explanation: explain bounded context, rationale, and trade-offs.
Do not mix modes when separate linked documents would be clearer.
Write
- Use the repository's real symbols, paths, flags, commands, and domain terms.
- Put conditions before actions. Write instructions as commands.
- Prefer active voice, plain words, and one main thought per sentence.
- Cut filler, vague attribution, promotional language, and claims without evidence.
- Use numbered lists for sequences and bullets for unordered items.
- Keep headings in sentence case.
- State expected output or observable success for procedural steps.
- Write PR titles, PR descriptions, and Changeset summaries in English.
- Follow Conventional Commits for commit messages.
Apply the unslop skill as the final editing pass. Preserve required legal, API, and domain terminology.
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.
- 1mo ago First seen · 32 lines · 43 tokens per session scan A ec86d5ece2ff
technical-writing is a skill published in the GitHub repository lootlog/monorepo (29 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 263 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 2026-08-31.
Other skills, from other repositories
plan-update
Use when you need to update a plan document with deep research across all compiler passes. Launches parallel subagents to analyze how a topic affects every compiler phase, then consolidates findings into the plan doc.
google-apps-script
Build Google Apps Script automation for Sheets and Workspace. Custom menus, triggers (onEdit / time-driven / form submit), dialogs, sidebars, email batches, PDF export, external API. Use whenever the user wants to automate a Google Sheet, build a Sheets menu / sidebar / dialog, hit a Sheets row from email or a…
build-with-simplepdf
Integrate SimplePDF into a web application for PDF viewing, editing, filling, signing, programmatic control, AI-agent interaction, human-in-the-loop form prefilling, submissions, webhooks, or customer-controlled storage. Use when a developer wants to add or improve PDF workflows in React, Next.js, JavaScript…
edit-pdf
Edit and fill PDF documents. Use when the user wants to fill a PDF form, add text/signatures/checkboxes/images to a PDF, or annotate a PDF. Accepts a PDF URL or file upload and returns a ready-to-use editor link. URL inputs are passed through directly. File uploads are stored temporarily (24 hours) then deleted.
widget-authoring
Author or edit ThinkEx widgets, which are self-contained interactive HTML blocks inside documents. Use when the user explicitly asks for a widget, asks for interaction or live computation, or wants a document visual that ordinary blocks cannot express.
job-match-standards
How real ATS (Workday/Greenhouse/Lever/Taleo/iCIMS/Ashby) parse, score and rank in 2026; evidence-based matching; and the legal limits on automated screening (EU AI Act high-risk, NYC LL144, EEOC Title VII, GDPR Art. 22). Load for changes under commands/matchresume.rs, coverletter.rs, validate/, documents/embed.