radar
CLAUDE.md2 starsChanged 27 days agoMITView on GitHub
Radar's code branch contains collection, assessment, pattern and publication logic. Its separate vault branch holds pipeline data. Start with the section "How every repository works" of the universal rules: the reading order, the file that wins on a conflict, how a rule changes, and what each document is for. If docs/tooltempest/universal-rules.md is missing: stop and run, from the repository root: The command reads repository and commit from .tooltempest.lock, uses a new temporary clean checkout that it removes on exit, and…
- Deletes or force-pushes
In this repositoryOne other file it gives its agents.
- session-endSkill
The file
We split this CLAUDE.md into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Start with the section "How every repository works" of the universal rules: the reading order, the file that wins on a conflict, how a rule …
- Very specific: line 11
If docs/tooltempest/universal-rules.md is missing: stop and run, from the repository root:
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.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
Radar project entry point
Radar's code branch contains collection, assessment, pattern and publication
logic. Its separate vault branch holds pipeline data.
Sources of truth
Start with the section "How every repository works" of the
universal rules: the reading order, the
file that wins on a conflict, how a rule changes, and what each document is for.
If docs/tooltempest/universal-rules.md is missing: stop and run, from the
repository root:
( set -eu; D=$(mktemp -d "${TMPDIR:-/tmp}/tooltempest.XXXXXX"); trap 'rm -rf "$D"' EXIT; R=$(python3 -c 'import json; print(json.load(open(".tooltempest.lock"))["repository"])'); C=$(python3 -c 'import json; print(json.load(open(".tooltempest.lock"))["commit"])'); git clone -q --no-checkout "$R" "$D"; git -C "$D" checkout -q --detach "$C"; python3 "$D/scripts/tooling.py" materialize --root . --source "$D" --apply )The command reads repository and commit from .tooltempest.lock, uses a new
temporary clean checkout that it removes on exit, and does not touch any other
ToolTempest clone.
Project rules are in
CONSTITUTION; SPEC holds the bounded
implementation requirements. This file routes to these sources. The working
rules for code and tests are in Constitution sections 5 and 6; for task
discipline and neighboring projects, in section 15.
Code and tests
- src contains pipeline modules, including model/network entry points.
- tests contains the existing pytest cases; scope and source-path configuration are in pyproject.toml.
- README describes the repository and existing execution surfaces.
Example test commands:
python3 -m pytest tests/test_vault_write.py -q
python3 -m pytest tests/test_check_frontmatter.py -qPipeline rules: .claude/rules/pipeline.md.
Existing workflows
The session-end skill handles BACKLOG closure, not Article Pipeline's structural sync procedure.
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.

