DeepSource Code Analysis Management Skill
Manage and analyze DeepSource issues, analyzers, and code health metrics.
MANDATORY: Discovery-First Pattern
Always check current DeepSource configuration before modifying analyzer settings.
Phase 1: Discovery
#!/bin/bash
echo "=== DeepSource Configuration ==="
cat .deepsource.toml 2>/dev/null || echo "No .deepsource.toml found"
echo ""
echo "=== Enabled Analyzers ==="
grep -A5 '\[\[analyzers\]\]' .deepsource.toml 2>/dev/null | head -20
echo ""
echo "=== Transformers ==="
grep -A3 '\[\[transformers\]\]' .deepsource.toml 2>/dev/null | head -10
echo ""
echo "=== Exclude Patterns ==="
grep 'exclude_patterns' .deepsource.toml 2>/dev/null
Phase 2: Analysis
#!/bin/bash
echo "=== Project Issues (via API) ==="
curl -s -H "Authorization: Bearer ${DEEPSOURCE_TOKEN}" \
"https://api.deepsource.com/v1/repos/${DEEPSOURCE_REPO}/issues/?status=open&limit=10" 2>/dev/null | jq '{
total: .count,
issues: [.results[:10][] | {
title: .title,
category: .category,
severity: .severity,
occurrences: .occurrences_count
}]
}' 2>/dev/null
echo ""
echo "=== Analyzer Status ==="
grep -E 'name|enabled' .deepsource.toml 2>/dev/null | head -10
Output Rules
- TOKEN EFFICIENCY: Target <=50 lines per output
- Group issues by category (bug risk, antipattern, performance, security)
- Report occurrence counts per issue type
- Never expose API tokens in output
Common Operations
Issue Categories
#!/bin/bash
echo "=== Issues by Category ==="
curl -s -H "Authorization: Bearer ${DEEPSOURCE_TOKEN}" \
"https://api.deepsource.com/v1/repos/${DEEPSOURCE_REPO}/issues/?status=open" 2>/dev/null | jq '{
by_category: (.results | group_by(.category) | map({
category: .[0].category,
count: length
}))
}' 2>/dev/null
Configuration Validation
#!/bin/bash
echo "=== Config Validation ==="
cat .deepsource.toml 2>/dev/null
echo ""
echo "=== Supported Analyzers ==="
echo "python, go, javascript, ruby, java, rust, sql, docker, terraform, shell"
Safety Rules
- Review analyzer configurations before enabling new analyzers on active repos
- DeepSource tokens must be stored in CI secrets
- Do not suppress issues globally -- use inline comments for justified cases only
- Monitor false positive rates and adjust analyzer settings accordingly
Output Format
Present results as a structured report:
Managing Deepsource Report
══════════════════════════
Resources discovered: [count]
Resource Status Key Metric Issues
──────────────────────────────────────────────
[name] [ok/warn] [value] [findings]
Summary: [total] resources | [ok] healthy | [warn] warnings | [crit] critical
Action Items: [list of prioritized findings]
Target ≤50 lines of output. Use tables for multi-resource comparisons.
Anti-Hallucination Rules
- NEVER assume resource names — always discover via CLI/API in Phase 1 before referencing in Phase 2.
- NEVER fabricate metric names or dimensions — verify against the service documentation or
--helpoutput. - NEVER mix CLI commands between service versions — confirm which version/API you are targeting.
- ALWAYS use the discovery → verify → analyze chain — every resource referenced must have been discovered first.
- ALWAYS handle empty results gracefully — an empty response is valid data, not an error to retry.
Counter-Rationalizations
| Shortcut | Counter | Why |
|---|---|---|
| "I'll skip discovery and check known resources" | Always run Phase 1 discovery first | Resource names change, new resources appear — assumed names cause errors |
| "The user only asked for a quick check" | Follow the full discovery → analysis flow | Quick checks miss critical issues; structured analysis catches silent failures |
| "Default configuration is probably fine" | Audit configuration explicitly | Defaults often leave logging, security, and optimization features disabled |
| "Metrics aren't needed for this" | Always check relevant metrics when available | API/CLI responses show current state; metrics reveal trends and intermittent issues |
| "I don't have access to that" | Try the command and report the actual error | Assumed permission failures prevent useful investigation; actual errors are informative |