Install
$ agentstack add skill-giladresisi-ai-dev-env-rca ✓ 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
Root Cause Analysis: GitHub Issue #$ARGUMENTS
Objective
Investigate GitHub issue #$ARGUMENTS from this repository, identify the root cause, and document findings for future implementation.
Prerequisites:
- Working in a local Git repository with GitHub origin
- GitHub CLI installed and authenticated (
gh auth status) - Valid GitHub issue ID from this repository
Investigation Process
1. Fetch GitHub Issue Details
Use GitHub CLI to retrieve issue information:
gh issue view $ARGUMENTS
This fetches:
- Issue title and description
- Reporter and creation date
- Labels and status
- Comments and discussion
2. Search Codebase
Identify relevant code:
- Search for components mentioned in issue
- Find related functions, classes, or modules
- Check similar implementations
- Look for patterns or recent changes
Use grep/search to find:
- Error messages from issue
- Related function names
- Component identifiers
3. Review Recent History
Check recent changes to affected areas: !git log --oneline -20 -- [relevant-paths]
Look for:
- Recent modifications to affected code
- Related bug fixes
- Refactorings that might have introduced the issue
4. Investigate Root Cause
Analyze the code to determine:
- What is the actual bug or issue?
- Why is it happening?
- What was the original intent?
- Is this a logic error, edge case, or missing validation?
- Are there related issues or symptoms?
Consider:
- Input validation failures
- Edge cases not handled
- Race conditions or timing issues
- Incorrect assumptions
- Missing error handling
- Integration issues between components
5. Assess Impact
Determine:
- How widespread is this issue?
- What features are affected?
- Are there workarounds?
- What is the severity?
- Could this cause data corruption or security issues?
6. Propose Fix Approach
Design the solution:
- What needs to be changed?
- Which files will be modified?
- What is the fix strategy?
- Are there alternative approaches?
- What testing is needed?
- Are there any risks or side effects?
Output: Create RCA Document
Save analysis as: docs/rca/issue-$ARGUMENTS.md
Required RCA Document Structure
# Root Cause Analysis: GitHub Issue #$ARGUMENTS
## Issue Summary
- **GitHub Issue ID**: #$ARGUMENTS
- **Issue URL**: [Link to GitHub issue]
- **Title**: [Issue title from GitHub]
- **Reporter**: [GitHub username]
- **Severity**: [Critical/High/Medium/Low]
- **Status**: [Current GitHub issue status]
## Problem Description
[Clear description of the issue]
**Expected Behavior:**
[What should happen]
**Actual Behavior:**
[What actually happens]
**Symptoms:**
- [List observable symptoms]
## Reproduction
**Steps to Reproduce:**
1. [Step 1]
2. [Step 2]
3. [Observe issue]
**Reproduction Verified:** [Yes/No]
## Root Cause
### Affected Components
- **Files**: [List of affected files with paths]
- **Functions/Classes**: [Specific code locations]
- **Dependencies**: [Any external deps involved]
### Analysis
[Detailed explanation of the root cause]
**Why This Occurs:**
[Explanation of the underlying issue]
**Code Location:**
[File path:line number] [Relevant code snippet showing the issue]
### Related Issues
- [Any related issues or patterns]
## Impact Assessment
**Scope:**
- [How widespread is this?]
**Affected Features:**
- [List affected features]
**Severity Justification:**
[Why this severity level]
**Data/Security Concerns:**
[Any data corruption or security implications]
## Proposed Fix
### Fix Strategy
[High-level approach to fixing]
### Files to Modify
1. **[file-path]**
- Changes: [What needs to change]
- Reason: [Why this change fixes it]
2. **[file-path]**
- Changes: [What needs to change]
- Reason: [Why this change fixes it]
### Alternative Approaches
[Other possible solutions and why the proposed approach is better]
### Risks and Considerations
- [Any risks with this fix]
- [Side effects to watch for]
- [Breaking changes if any]
### Testing Requirements
**Test Cases Needed:**
1. [Test case 1 - verify fix works]
2. [Test case 2 - verify no regression]
3. [Test case 3 - edge cases]
**Validation Commands:**
```bash
[Exact commands to verify fix]
Implementation Plan
[Brief overview of implementation steps]
This RCA document should be used by /implement-fix command.
Next Steps
- Review this RCA document
- Run:
/implement-fix $ARGUMENTSto implement the fix - Run:
/commitafter implementation complete
## Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- **Author:** [giladresisi](https://github.com/giladresisi)
- **Source:** [giladresisi/ai-dev-env](https://github.com/giladresisi/ai-dev-env)
- **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.