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/agricidaniel/gogh/agents-mdgit clone --depth 1 https://github.com/AgriciDaniel/goghWhat 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 | $0.00361 | $0.00361 |
| Opus 5 | $0.00180 | $0.00180 |
| Sonnet 5 | $0.00072 | $0.00072 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
gogh 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 3d 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
Gogh Agent Instructions
The canonical agent entrypoint is SKILL.md; this file exists for agent
runtimes that load project-level AGENTS.md instructions.
Gogh is a six-skill frontend design stack brain for AI coding agents.
Read Order
SKILL.mdREADME.mddocs/OPERATOR_KIT.mddocs/PRODUCT_BOUNDARIES.mdreferences/product-spec.mdreferences/source-ledger.jsonreferences/adapter-manifest.jsonreferences/claim-ledger.mdreferences/skill-registry.json
Operating Rules
- Do not call this brain market-ready unless
scripts/audit_brain.py --require market-readypasses. - A scaffold is not a finished brain.
- Domain-specific claims require dated trustworthy sources.
- Research evidence must be recorded in
references/source-ledger.json. - Adapter completion must be recorded in
references/adapter-manifest.json. - Preserve
.raw/as immutable source material. - Keep Obsidian
wiki/,CODEX.md, dashboards, canvases, frontmatter, wikilinks, graph hygiene, and source citations healthy. - V1 is advisory and read-only unless a future release defines approval and rollback for mutations.
Verification
Run the package command only from a clean tree.
python -m compileall scripts gogh tests
python tests/test_adapters.py
python tests/test_pipeline.py
python scripts/lint_vault.py --vault .
python scripts/audit_brain.py --json
python scripts/package_release.py --version 1.0.0 --release-type market-ready
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.
- 3d ago First seen · 46 lines · 361 tokens per session scan A ebaa3aed7e43
gogh AGENTS.md is an instructions file published in the GitHub repository AgriciDaniel/gogh (56 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 361 tokens to every session, about $0.0018 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
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.