rigorgraph
AGENTS.md1 starsChanged 4 months agoMITView on GitHub
Before reporting completion, run: Also build the frontend and validate the plugin and all four skills. Static checks alone do not establish that the CLI, report, wheel, or GitHub Action works.
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,774 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository4 other files it gives its agents.
- adversarial-verifySkill
- capture-claimSkill
- release-auditSkill
- research-intakeSkill
The file
We split this AGENTS.md into the rules it gives an agent
6 rules. About 0 are common, 4 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 7
Keep v1 local-first: no telemetry, hosted database, built-in paid model API, editable report, or MCP server.
- Very specific: line 18
Every core message ID must exist in en, zh-TW, zh-CN, and ja.
- Distinctive: line 19
Keep machine keys, enum values, error codes, IDs, paths, and hashes in English.
- Distinctive: line 20
Do not automatically translate user-authored claims, quotations, formulas, or evidence.
- Very specific: line 21
Run python scripts/validate_locales.py after changing any user-facing string.
- Distinctive: line 25
Before reporting completion, run:
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
RigorGraph agent guidance
Product boundary
- Preserve the distinction between proof, literature support, numerical evidence, benchmark evidence, and open questions.
VERIFIEDis a workflow status, not absolute truth, formal certification, peer review, or expert consensus.- Keep v1 local-first: no telemetry, hosted database, built-in paid model API, editable report, or MCP server.
Source of truth
- Python source:
src/rigorgraph/. - Frontend source:
frontend/; regeneratesrc/rigorgraph/viewer/index.htmlwithnpm.cmd run buildon Windows ornpm run buildelsewhere. Do not hand-edit the generated HTML. - Schemas: generate with
python scripts/export_schemas.py; do not hand-edit generated schema JSON. - Canonical skill content:
skills/; plugin manifest:.codex-plugin/plugin.json.
Internationalization
- Every core message ID must exist in
en,zh-TW,zh-CN, andja. - Keep machine keys, enum values, error codes, IDs, paths, and hashes in English.
- Do not automatically translate user-authored claims, quotations, formulas, or evidence.
- Run
python scripts/validate_locales.pyafter changing any user-facing string.
Verification
Before reporting completion, run:
python -m pytest
python -m ruff check .
python scripts/export_schemas.py --check
python scripts/release_check.py --fullAlso build the frontend and validate the plugin and all four skills. Static checks alone do not establish that the CLI, report, wheel, or GitHub Action works.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

