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 zacharygcook/agent-skills --skill write-public-readmegit clone --depth 1 https://github.com/zacharygcook/agent-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/zacharygcook/agent-skills/write-public-readme)<a href="https://agentmods.dev/skills/zacharygcook/agent-skills/write-public-readme"><img src="https://agentmods.dev/badge/skills/zacharygcook/agent-skills/write-public-readme/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/zacharygcook/agent-skills/write-public-readme"><img src="https://agentmods.dev/badge/skills/zacharygcook/agent-skills/write-public-readme.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 | $0.00056 | $0.00718 |
| Opus 5 | $0.00028 | $0.00359 |
| Sonnet 5 | $0.00011 | $0.00144 |
| Haiku 4.5 | $0.00006 | $0.00072 |
Grade A, and why
write-public-readme 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 11d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write Public README
Treat the README as the product's front door. Optimize for a capable stranger deciding whether to trust, install, and use the project—not for maintainers who already know its internals.
Build the story in reader order
- Inspect the repository, current README, license, package metadata, real commands, and screenshots.
- Identify the audience, primary outcome, maturity, and shortest verified path to first value.
- Lead with the project name, one concrete sentence, and a compact mental model or screenshot only when it materially improves understanding.
- Put installation and the human quick start before architecture, implementation details, or exhaustive reference material.
- Explain the distinctive workflows and benefits with evidence from the repository.
- End with automation/reference commands, deeper documentation, contribution guidance, license, and credits as applicable.
Make installation feel obvious
- Show the smallest supported path that actually works in a clean repository.
- Prefer one command per line and commands that fit a normal mobile-width GitHub code block.
- Do not expose package-layout details, redundant selectors, forced confirmation flags, interpreter spelling, manual file copies, or lifecycle glue when the product can automate them.
- Do not make humans read the automation interface to get started. Put fully explicit flags and machine-oriented variants in a small section near the end.
- If the honest command is ugly, improve the installer or CLI instead of cosmetically explaining it.
- Verify version behavior before adding
@latest, pins,-y, or similar ceremony.
Keep the README public-facing
- Write in plain, confident language. Remove internal history, private context, machine-specific paths, score-chasing rationale, apologies, and implementation archaeology.
- Prefer a few strong sections over a complete inventory. Link deeper docs rather than duplicating them.
- Use badges sparingly: build health, package/version, and license should communicate real trust.
- Use tables only for genuine comparison or exact mappings; avoid wide tables and horizontally scrolling command blocks.
- Keep examples realistic and copy/paste-ready. Separate shell commands from explanatory comments when comments make copying awkward.
- State access limitations, supported platforms, maturity, and destructive behavior plainly.
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.
- 11d ago First seen · 70 lines · 56 tokens per session scan A e01e5311f4e4
write-public-readme is a skill published in the GitHub repository zacharygcook/agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 718 once invoked, about $0.0003 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 2026-08-31.
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