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/nisus74/humanise/gemini-mdgit clone --depth 1 https://github.com/Nisus74/humaniseWrote 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/nisus74/humanise/gemini-md)<a href="https://agentmods.dev/instructions/nisus74/humanise/gemini-md"><img src="https://agentmods.dev/badge/instructions/nisus74/humanise/gemini-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 | $0.00249 | $0.00249 |
| Opus 5 | $0.00125 | $0.00125 |
| Sonnet 5 | $0.00050 | $0.00050 |
| Haiku 4.5 | $0.00025 | $0.00025 |
Grade A, and why
humanise GEMINI.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 4d 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
GEMINI.md
Gemini CLI and Google Antigravity read this file. This repo is the humanise writing skill: it makes AI-generated prose sound like a specific human wrote it.
Apply it whenever you write or edit human-facing prose for the user:
- Read
skill/SKILL.mdfor the workflow. - Read the user's
skill/profile/(soul.md,voice-fingerprint.md,absolute-rules.md) if it exists; otherwise point them atdocs/getting-started.md. - Run
python3 skill/evals/assertions/writing_checks.py <draft-file> <dialect> [medium]on substantial drafts.
The engine (skill/references/) is shared; the voice (skill/profile/) is the user's. Leave code, config, and quoted material out of the prose sweep.
Engine changes clear the acceptance gate in skill/evals/self-harness-loop.md, runnable end to end via /humanise improve. Never tune a change against skill/evals/holdout-evals.json (reserved held-out), and treat skill/profile/learning/ as soul: the user's verbatim edit history, never committed.
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.
- 4d ago First seen · 14 lines · 249 tokens per session scan A 02ed0f4ad2eb
humanise GEMINI.md is an instructions file published in the GitHub repository Nisus74/humanise (1 stars, last pushed 7d ago), licensed MIT. It adds 249 tokens to every session, about $0.0012 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.
Other instructions, from other repositories
gortex CLAUDE.md
Claude Code instructions for zzet/gortex, covering gortex, build & test, codebase overview, discovery (read once, then keep using) and llm provider (powers ask and searchsymbols assist: modes).
agent-toolkit AGENTS.md
AGENTS.md instructions for ulises-jeremias/agent-toolkit, covering agents.md — ai agent contract, what this toolkit does, repository structure, operating rules and how to add a skill.
core-ai CLAUDE.md
Claude Code instructions for helius-labs/core-ai, covering core ai, compiler-managed sync, mcp server pin, skill versioning and router surface maintenance.
ChatCrystal AGENTS.md
AGENTS.md instructions for ZengLiangYi/ChatCrystal, covering agents.md, project overview, commands, development (server port 3721 + client port 13721) and build for production.
core-ai AGENTS.md
AGENTS.md instructions for helius-labs/core-ai, covering core ai — agent instructions, repository overview, mcp server setup, api key setup and public tool surface.
eds-mcp-server CLAUDE.md
Instructions for Focus-GTS/eds-mcp-server, covering eds mcp server, architecture, project structure, environment variables and authentication.