Install
$ agentstack add skill-sandsower-beislid-debug ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Debug Method
Find the root cause before touching code. No quick fixes, no guessing, no shotgun debugging.
Do NOT propose or implement a fix until you have identified the root cause with evidence. "It's probably X" is not a root cause.
Phases
1. Reproduce
- Read the error message carefully — the full stack trace, not just the last line
- Reproduce the failure consistently
- If you can't reproduce it, you don't understand it yet
2. Investigate
- Check recent changes (
git log,git diff) that could have introduced the issue - Find a working reference — when did this last work? What's different?
- Trace the data flow from input to error point
- In multi-component systems, isolate which component fails first
3. Hypothesize
- Form a single hypothesis based on evidence gathered
- Test it minimally — the smallest change that proves or disproves the hypothesis
- If disproved, go back to step 2 with new information
- If you're stuck after 3 hypotheses, say "I don't understand this yet" and surface to the user
4. Fix
- Write a failing test that captures the bug
- Implement the fix — one change at a time
- Verify the test goes from red to green
- Run the full suite to check for regressions
Red Flags
Stop yourself if you're thinking:
- "Let me just try changing X" — that's guessing
- "Quick fix for now" — that's deferring understanding
- "Multiple changes at once" — that's making it harder to know what worked
- "I don't fully understand but this should work" — go back to investigate
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: sandsower
- Source: sandsower/beislid
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.