Install
$ agentstack add skill-himanshi-28-coding-agent-skills-debug-with-evidence ✓ 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 with Evidence
Find and prove the root cause before changing behavior. A disappearing symptom is not sufficient evidence of a correct fix.
Workflow
- Define the failure.
- Record observed behavior, expected behavior, exact inputs, environment, frequency, timeline, and recent relevant changes.
- Separate reported facts from assumptions.
- Establish a reliable reproduction.
- Reproduce with the smallest safe case available.
- Preserve the failing command, request, data shape, or user steps.
- If reproduction is impossible, identify the missing evidence instead of guessing.
- Trace the relevant code path.
- Inspect applicable instructions, entry points, state transitions, dependencies, error handling, and existing tests.
- Form ranked hypotheses.
- Make each hypothesis specific and falsifiable.
- State the observation that would support or reject it.
- Collect targeted evidence.
- Use existing logs, stack traces, test output, browser state, query plans, profiles, metrics, or version history.
- Add minimal temporary instrumentation at suspected boundaries when needed.
- Change one investigative variable at a time.
- Identify the root cause.
- Explain the causal chain from triggering condition to observed failure.
- Show why the evidence favors it over competing hypotheses.
- Reject symptom-masking fixes such as an unexplained null check or broad retry.
- Lock a regression test.
- Add the smallest test that reproduces the bug and confirm it fails for the proven reason before applying the fix.
- Use the
lock-tests-firstskill when the contract requires broader coverage.
- Apply a targeted fix.
- Correct the cause with the smallest coherent change.
- Preserve unrelated behavior and remove temporary instrumentation unless it provides lasting observability value.
- Verify.
- Re-run the reproduction and regression test, then relevant surrounding checks.
- Test boundary and failure cases suggested by the root cause.
- Explain why the fix prevents recurrence rather than hiding the symptom.
Output
Provide the reproduction, evidence, root cause, rejected hypotheses, fix, regression protection, verification results, and residual uncertainty. Never claim a cause solely because a patch made the immediate error disappear.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: himanshi-28
- Source: himanshi-28/coding-agent-skills
- 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.