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 nguyenthienthanh/aura-frog --skill tech-writinggit clone --depth 1 https://github.com/nguyenthienthanh/aura-frogWrote 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/nguyenthienthanh/aura-frog/tech-writing)<a href="https://agentmods.dev/skills/nguyenthienthanh/aura-frog/tech-writing"><img src="https://agentmods.dev/badge/skills/nguyenthienthanh/aura-frog/tech-writing.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
SkillSpector: 1 finding, up to low
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- low Excessive Agency · line 215 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00088 | $0.04008 |
| Opus 5 | $0.00044 | $0.02004 |
| Sonnet 5 | $0.00018 | $0.00802 |
| Haiku 4.5 | $0.00009 | $0.00401 |
Grade A, and why
tech-writing scanned grade A with 1 finding 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
exists** — run the test, execute the snippet, `curl` the endpoint, read the migration. A tool result How it starts
The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI-consumed reference. Optimized for Claude to read during execution.
Technical Writing
Produce documents a reviewer can act on and argue with — not filled-in templates.
Evidence policy for this skill itself. Almost everything below is CONVENTION with an authoritative primary source, NOT measured efficacy. No study shows these structures produce better outcomes. The three places carrying real measurement are marked [MEASURED]. Never present convention as research-backed — that is the first thing this skill exists to stop.
Step 0 — Refuse to write blind
Run rules/core/prompt-validation.md (6-dimension gate) BEFORE writing. Below threshold → ask the
1–2 weakest dimensions, do not guess. A doc written from guesses is worse than no doc: it looks
authoritative and is wrong.
Then answer three questions in the output header, so the reader sees the frame:
frame[3]{question,why}:
Who reads this and what decision do they make with it?,"No audience ⇒ no way to judge detail level"
What is ALREADY true (code/system) vs PROPOSED?,"The #1 source of misleading specs"
What would make this document WRONG?,"If nothing could, it is asserting nothing"
Step 1 — Pick the tier. Default DOWN.
Tier follows agent-detector complexity. Do not scale formality with the effort you spent.
tiers[4]{tier,complexity,doc,gate}:
T0,Quick,"Y-statement (1 sentence) or a PR-description paragraph","Reversible? cheap to undo? stop here"
T1,Standard,"Nygard ADR (5 sections) OR a one-page spec","Long-lived consequence but one obvious option"
T2,Deep,"MADR + LLD sections that apply","≥2 options genuinely worth comparing"
T3,Project,"RFC: guide-level + reference-level split","Crosses teams / hard to reverse"
Escalate a tier when ≥2 hold: multiple teams affected · hard to reverse · ≥2 credible options · safety/money/data-loss exposure · the reader will not be in the room to ask you. Never escalate because the topic feels important.
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.
- 5d ago First seen · 322 lines · 88 tokens per session scan A 6753cb7bef03
tech-writing is a skill published in the GitHub repository nguyenthienthanh/aura-frog (24 stars, last pushed 4d ago), licensed MIT. It adds 88 tokens to every session and 4,008 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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