entry-point-audit
Skill2 starsChanged 4 months agoMITView on GitHub
Use when adding any cross-cutting change - a new gate, limit, permission check, or rule that must apply everywhere.
In this repository19 other files it gives its agents.
- build-release-mindsetSkill
- critical-thinkingSkill
- de-ai-proseSkill
- feasibility-guardSkill
- fix-in-the-shared-layerSkill
- fix-the-root-causeSkill
- independent-review-gateSkill
- logging-for-remote-diagnosisSkill
- no-duplicate-logicSkill
- opportunistic-fixesSkill
- performance-at-scaleSkill
- plan-with-teethSkill
- project-onto-all-systemsSkill
- question-the-premiseSkill
- tests-with-teethSkill
- user-action-edge-casesSkill
- using-instinctsSkill
- ux-designer-mindsetSkill
- verify-against-codeSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are 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.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
When a change has to hold everywhere, the bug is the path you forgot.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill 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
The rule
When a change has to hold everywhere, the bug is the path you forgot. Before you add it to the handler in front of you, search the whole codebase for every entry point that reaches the same action, and apply it to all of them.
Fires when
Adding a limit or quota, an auth or permission check, a feature flag or gate, input validation, or logging that must always fire for some action.
How to apply
Grep the codebase for the action itself, not just the caller you're looking at: the function, the event, the command. Assume two or three entry points exist, not one. Apply the change to every one of them. Then search again to confirm none are left.
Worked example
You add a rate limit to the REST endpoint that sends invites. Shipped. Users still spam invites, because the same send-invite function is also called from a CLI command and a nightly cron job, and neither is rate-limited.
The limit had to live at every entry point, or below all of them. Not just the HTTP door you happened to be standing at.
Red flags
| Thought | Reality |
| "I'll add it to this handler" | Which handler? Find all of them first. |
| "There's only one place this happens" | Assume three until you've checked. |
| "It works from the UI" | The UI is one door. Count the others. |
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.

