notte-functions-doctor

Diagnose and repair a broken Notte Function.

What this skill does for you

Diagnose and repair a broken Notte Function. Use when a deployed or scheduled Function has started failing or returning empty/wrong results - for example "my function fn_... returns empty now", "repair my scraper function", "the Indeed function broke after the site changed", "fix this failed function run", or "diagnose why my scheduled function stopped working". The user supplies the Function that is broken; this skill finds the root cause, re-explores the changed surface, verifies a fix in isolation, and promotes it behind a confirmation gate. Pairs with notte-functions-build, which builds Functions.

Quoted from the skill description in the pinned source

Who made it

Publishernottelabs

Repositorynotte-skills

Installs298as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the notte-functions-doctor skill from nottelabs/notte-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: d80867a98a855c1962fc4477e6983bb1a21e6f51. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: d80867a98a855c1962fc4477e6983bb1a21e6f51. Raw findings: 2. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: d80867a98a855c1962fc4477e6983bb1a21e6f51. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/nottelabs/notte-skills
Pinned skill file: View source at revision
Revision: d80867a98a855c1962fc4477e6983bb1a21e6f51
Package hash: sha256:7d5e1e8947ac371ea140d04a6264ea635319514bd401eec879478a2f8de3c0f8
Licence: MIT