research-mode
AGENTS.md4 starsChanged 5 months agoApache-2.0View on GitHub
This file is for coding agents and maintainers working on this repository. Human-facing project documentation starts at README.md. Detailed guides live under docs/, with repository-level files such as RELEASE_NOTES.md, RELEASING.md, CONTRIBUTING.md, ROADMAP.md, and SECURITY.md kept at the root. - Keep human documentation useful without requiring private workspace context. - Put operational instructions for OpenClaw runtime agents in SKILL.md. - Put repository-maintenance guidance for coding agents in this file. - Do not add private paths, chat ids, cron ids, tokens, webhook…
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 repositoryOne other file it gives its agents.
- research-modeSkill
The file
We split this AGENTS.md into the rules it gives an agent
10 rules. About 0 are common, 7 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈7
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 11
Keep human documentation useful without requiring private workspace context.
- Very specific: line 12
Put operational instructions for OpenClaw runtime agents in SKILL.md.
- Distinctive: line 13
Put repository-maintenance guidance for coding agents in this file.
- Distinctive: line 14
Do not add private paths, chat ids, cron ids, tokens, webhook URLs, personal notes, or generated research artifacts to public examples.
- Distinctive: line 16
Do not mix hidden prompts or agent-only instructions into human-facing docs.
- Very specific: line 20
Read SKILL.md and the relevant helper modules under scripts/.
- Distinctive: line 23
Keep task state and artifacts task-local and path-contained.
- Very specific: line 24
Keep awaiting_review separate from delivered/completed state.
- Distinctive: line 25
Keep finalization evidence explicit before a worker marks a result reviewable.
- Distinctive: line 29
Run the release gate from the repository root after meaningful changes:
≈ “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
Agent Notes
This file is for coding agents and maintainers working on this repository.
Human-facing project documentation starts at README.md. Detailed guides live
under docs/, with repository-level files such as RELEASE_NOTES.md,
RELEASING.md, CONTRIBUTING.md, ROADMAP.md, and SECURITY.md kept at the
root.
Keep The Boundary Clear
- Keep human documentation useful without requiring private workspace context.
- Put operational instructions for OpenClaw runtime agents in
SKILL.md. - Put repository-maintenance guidance for coding agents in this file.
- Do not add private paths, chat ids, cron ids, tokens, webhook URLs, personal notes, or generated research artifacts to public examples.
- Do not mix hidden prompts or agent-only instructions into human-facing docs.
Before Changing Behavior
- Read
SKILL.mdand the relevant helper modules underscripts/. - Preserve the cron-based execution model: Research Mode is an OpenClaw skill, not a standalone daemon or generic Python package.
- Keep task state and artifacts task-local and path-contained.
- Keep
awaiting_reviewseparate from delivered/completed state. - Keep finalization evidence explicit before a worker marks a result reviewable.
Verification
Run the release gate from the repository root after meaningful changes:
scripts/check_research_mode.shFor documentation-only changes, at minimum run:
python3 scripts/check_research_mode_docs.pyDoes 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.

