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 instructions/lynote-ai/humanize-text-skill/agents-mdgit clone --depth 1 https://github.com/lynote-ai/humanize-text-skillWrote 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/instructions/lynote-ai/humanize-text-skill/agents-md)<a href="https://agentmods.dev/instructions/lynote-ai/humanize-text-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/lynote-ai/humanize-text-skill/agents-md.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 | $0.00389 | $0.00389 |
| Opus 5 | $0.00195 | $0.00195 |
| Sonnet 5 | $0.00078 | $0.00078 |
| Haiku 4.5 | $0.00039 | $0.00039 |
Grade A, and why
humanize-text-skill AGENTS.md 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 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.
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
AGENTS.md
humanize-text-skill is a bilingual AI-writing skill for two linked tasks:
- subtraction: remove AI-shaped tone and templated phrasing
- addition: pull the result toward a target human voice
The project combines the engineering discipline of avoid-ai-writing with the Chinese coverage depth inspired by shuorenhua.
Repository layout
SKILL.mdis the single rule entry point and mode contract.detector/contains the zero-dependency engine for Node>=18and browser use.references/stores the human-readable rule source.policy/stores scene, tier, and voice policy as auditable.tomldata.evals/stores benchmark cases, fixtures, and voice samples.plugins/,cursor-rules/, andinstall/hold platform packaging and setup guidance.
Non-drifting contracts
- One scorer:
scoreis computed only indetector/core/scoring.js.fidelityis a gate, not a score.voice.driftis independent. - Count consistency: the README pattern-category count must match the detectable
###count inSKILL.md, and every detectortypemust be documented indetector/CATEGORIES.md. - Policy alignment: names referenced in
policy/*.tomlmust exist in engine enums, andmatrix.tomlmust cover every scene-by-tier cell.
Modes
rewrite is the default mode. detect audits without rewriting. edit performs minimal in-place changes. Every mode runs protected-span detection first. Any voiceMode other than none enables voice-pull suggestions.
Related work
avoid-ai-writingby conorbronsdonshuorenhuaby MrGeDiao
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 · 33 lines · 389 tokens per session scan A 2cb511425ef3
humanize-text-skill AGENTS.md is an instructions file published in the GitHub repository lynote-ai/humanize-text-skill (235 stars, last pushed 1mo ago), licensed MIT. It adds 389 tokens to every session, about $0.0019 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 2026-08-30.
Other instructions, from other repositories
ai-workflow AGENTS.md
Instructions for cunhaax/ai-workflow, covering ai workflow template, rules — non-negotiable, project overview, commands and architecture.
trackly-cli CLAUDE.md
Claude Code instructions for trackly-app/trackly-cli, covering trackly-cli, tech stack, backend production source of truth, directory structure and key commands.
vibetags com-example-config-AsyncTestConfig.instructions.md
Instructions for PIsberg/vibetags, covering copilot instructions for asynctestconfig and immutable type.
pupila CLAUDE.md
Instructions for FranRom/pupila, covering claude.md, where things live, stack, run locally and repo layout.
claude-bridge AGENTS.md
Instructions for kadaba/claude-bridge, covering agents.md — using claude-bridge from any ai coding cli, two independent channels, 1. coordination (the conversation), 2. file transfer (the bytes) — same for every tool and workflows.
McpServer AGENTS.md
AGENTS.md instructions for sharpninja/McpServer, covering agent instructions, session start, rules, byrd test gate and where things live.