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 cniska/skills --skill skill-writinggit clone --depth 1 https://github.com/cniska/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/cniska/skills/skill-writing)<a href="https://agentmods.dev/skills/cniska/skills/skill-writing"><img src="https://agentmods.dev/badge/skills/cniska/skills/skill-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/cniska/skills/skill-writing"><img src="https://agentmods.dev/badge/skills/cniska/skills/skill-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 | $0.00030 | $0.00701 |
| Opus 5.5 | $0.00012 | $0.00280 |
| Sonnet 5.5 | $0.00006 | $0.00140 |
| Haiku 4.5 | $0.00003 | $0.00070 |
Grade A, and why
skill-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.
How it starts
The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill writing
A skill is a self-contained instruction to a model — one per file at skills/<name>/SKILL.md. This skill carries the how of writing one here; AGENTS.md is the source of truth for the mechanical rules the validator enforces (frontmatter, ## Red flags, no cross-directory links, tier vocabulary). Read it first; don't restate it here.
Two modes, inferred from the request:
- Create — a capability has no skill yet. Start from scaffolding, then clone the shape of the closest existing skill.
- Update — a skill exists and a rule needs adding or sharpening. Merge into the right section and trim what it duplicates; never blind-append. Updating is the harder half.
Workflow
- Pick the mode and read
AGENTS.md(## Authoring a skill) for the rules in force. - Find the closest sibling and match its shape — don't invent a new one. A "create/update a GitHub thing" clones
issue; a two-modes artifact skill clonesdocsoragents-md; a review dimension clones a*-reviewskill. - Scaffold (Create only):
mise run new-skill <kebab-case> "<imperative description>", or copySKILL_TEMPLATE.md. - Write to the conventions: imperative body, terse,
descriptionstarts with a verb and says when to use it; reference other skills by bare name in## See also; end with## Red flags. Match wording to the sibling — same section order, same lead-in style. Keep only what changes what the model does: for each line, ask whether the model would act differently without it, and cut what it already knows, such as a standard catalog or a textbook method. - Validate:
mise run validate. - Dry-run before commit: run
skill-teston unlike real repos for any material change, and fold convergent fixes back in. A change is material if it alters what the skill detects, flags, or produces — even one bullet — not if it merely reads that way; a wording-only fix with no behavioral change (typo, link, terminology) can skip the dry-run. - Commit direct to
mainwith a Conventional Commit subject — only once the user gives the go.
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 · 39 lines · 30 tokens per session scan A 600d6fc4b388
skill-writing is a skill published in the GitHub repository cniska/skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 30 tokens to every session and 701 once invoked, about $0.0001 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 2026-10-03.
skill-writing compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skill-writingcniska/skills | Skill | 6 | 1mo ago | MIT | A | 30 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |