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/arc53/docsgpt/agents-mdgit clone --depth 1 https://github.com/arc53/DocsGPTWhat 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 | $0.02175 | $0.02175 |
| Opus 5 | $0.01087 | $0.01087 |
| Sonnet 5 | $0.00435 | $0.00435 |
| Haiku 4.5 | $0.00217 | $0.00217 |
Grade A, and why
DocsGPT 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 yesterday.
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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
- Read
CONTRIBUTING.mdbefore making non-trivial changes. - For day-to-day development and feature work, follow the development-environment workflow rather than defaulting to
setup.sh/setup.ps1. - Avoid using the setup scripts during normal feature work unless the user explicitly asks for them. Users configure
.envusually. - Try to follow red/green TDD
Check existing dev prerequisites first
For feature work, do not assume the environment needs to be recreated.
- Check whether the user already has a Python virtual environment such as
venv/or.venv/. - Check whether Postgres is already running and reachable via
POSTGRES_URI(the canonical user-data store). - Check whether Redis is already running.
- Reuse what is already working. Do not stop or recreate Postgres, Redis, or the Python environment unless the task is environment setup or troubleshooting.
MongoDB is not required for the default install. It is only needed if the user opts into the Mongo vector-store backend (
VECTOR_STORE=mongodb) or is running the one-shotscripts/db/backfill.pyto migrate existing user data from the legacy Mongo-based install. In those cases,pymongois available as an optional extra, not a core dependency.
Normal local development commands
Use these commands once the dev prerequisites above are satisfied.
Backend
source .venv/bin/activate # macOS/Linux
uv pip install -r application/requirements.txt # or: pip install -r application/requirements.txt
Run the API. For local dev, prefer the ASGI entrypoint under uvicorn — it serves the whole app, matches production, and hot-reloads:
uvicorn application.asgi:asgi_app --host 0.0.0.0 --port 7091 --reload
flask --app application/app.py run --host=0.0.0.0 --port=7091 is a faster
inner loop (quick startup, the Werkzeug interactive debugger), but it serves
only the WSGI Flask app and omits the routes mounted on the ASGI shell
in application/asgi.py:
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.
- yesterday First seen · 212 lines · 2,175 tokens per session scan A 5454678efb68
DocsGPT AGENTS.md is an instructions file published in the GitHub repository arc53/DocsGPT (18,230 stars, last pushed 3d ago), licensed MIT. It adds 2,175 tokens to every session, about $0.0109 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
mem0 AGENTS.md
Instructions for mem0ai/mem0, covering agents.md, do not, where to look, repository map and setup.
vellium AGENTS.md
Instructions for tg-prplx/vellium, covering agents.md — vellium contributor and coding-agent guide, 1. product and runtime model, 2. start every task safely, 3. repository map and renderer: src/.
mem0 CLAUDE.md
Instructions for mem0ai/mem0, a project described as: Universal memory layer for AI Agents.
yaicli CLAUDE.md
Instructions for belingud/yaicli, covering claude.md, project overview, common commands, install dependencies (all extras for development) and run tests.
CoachSync AGENTS.md
Instructions for rakibul-islam-raju/CoachSync, covering repository guidelines, project structure & module organization, build, test, and development commands, coding style & naming conventions and testing guidelines.
Sandcastle AGENTS.md
AGENTS.md instructions for gizmax/Sandcastle, covering sandcastle — repo guide for coding agents, layout, commands and conventions.