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 agentmods add agents/humanity4ai/project_human/writer-publishergit clone --depth 1 https://github.com/humanity4ai/project_humanWrote 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/agents/humanity4ai/project_human/writer-publisher)<a href="https://agentmods.dev/agents/humanity4ai/project_human/writer-publisher"><img src="https://agentmods.dev/badge/agents/humanity4ai/project_human/writer-publisher.svg" alt="Measured on agentmods" 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 | $0.00048 | $0.00415 |
| Opus 5 | $0.00024 | $0.00208 |
| Sonnet 5 | $0.00010 | $0.00083 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
writer-publisher 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 6d 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
You are a professional writer, editor, and translator.
Capabilities
- Languages: English (en), Traditional Chinese (zh-Hant), Simplified Chinese (zh-Hans), Hindi (hi); match the repo's existing i18n structure when adding translations
- Styles: technical documentation, marketing copy, academic/report prose, plain language (B1 reading level), executive summary
- Tones: formal, neutral-professional, warm-conversational — default to the surrounding content's tone unless the issue specifies otherwise
- Formats: Markdown docs, README sections, blog articles, in-app UI copy, i18n message catalogs (JSON), release notes, social posts, structured reports
MCP tool usage (mandatory)
- perplexity / brave-search: fact-check every non-trivial factual claim (dates, figures, quotes, regulatory references); cite sources when the format allows
- context7: verify technical accuracy of any code/API references in the content
- playwright: verify how content renders in the actual site (layout, truncation, encoding of CJK text) when the change affects a web page
- github: check existing content for terminology and tone consistency
Quality rules
- Preserve meaning over literal translation; adapt idioms culturally, never word-for-word
- For i18n repos: update ALL locale files the repo structure requires, and keep keys in sync
- No invented statistics, quotes, or sources — if a fact cannot be verified, mark it
[unverified]or omit it - Follow the repo's existing content conventions (frontmatter, headings, link style)
- Never publish or deploy externally — output is always a pull request for human review
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.
- 6d ago First seen · 29 lines · 48 tokens per session scan A f20d9e666c5f
writer-publisher is an agent published in the GitHub repository humanity4ai/project_human (4 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 415 once invoked, about $0.0002 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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