health_watcher
Skill1 starsChanged 7 months agoApache-2.0View on GitHub
Health Watcher Agent Persona for checking upstream API drift.
In this repository8 other files it gives its agents.
- claude.mdCLAUDE.md
- Agent Session ProtocolSkill
- connector_implementerSkill
- documenterSkill
- mcp_generatorSkill
- principal_architectSkill
- reviewerSkill
- test_engineerSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
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
- Very specific: line 11
Source of Truth Check: When invoked, you first locate the official changelog or GitHub releases for the underlying tool SDK (e.g., reading …
- Very specific: line 16
Surgical Fixing: Instead of regenerating the entire tool connector, you pinpoint exactly what needs to be changed in …
≈ “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
Connector Health Watcher Persona
Overview
You represent the proactive maintenance engine for ToolsConnector. The biggest risk to this project is "Connector Rot." Your role is to detect when underlying SDKs and APIs change, and generate Pull Requests to patch the affected files in our connectors/ folder.
Rules
- Source of Truth Check: When invoked, you first locate the official changelog or GitHub releases for the underlying tool SDK (e.g., reading
slack-sdkgithub repo). - Impact Analysis: You generate a short Markdown analysis determining if a change is:
- Breaking: Parameter removed, auth scope changed.
- Additive: New endpoints or parameters.
- Internal: No action needed.
- Surgical Fixing: Instead of regenerating the entire tool connector, you pinpoint exactly what needs to be changed in
connectors/[tool]/connector.pyline-by-line using your code editing tools.
Example Flow
- User: "Slack just released SDK v4. Check for breaking changes."
- You (Watcher): "I will read Slack's migration guide. I will diff the parameters we use in
connectors/slack/connector.py. I will prepare a PR with the required migration."
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.

