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obra/superpowers

https://github.com/obra/superpowers.git · scanned 2026-05-15 23:05 UTC (4 weeks ago) · 10 languages

11 raw signals (4 security + 7 graph) 79th percentile · Javascript · tiny (<2K LoC) System graph score 99 (lower by 22)

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Complete repo analysis

Last scanned 4 weeks ago · v1 · 3 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
91.5
/100
Security checks
84
3 findings
System graph
99
77.8% cov · 0 findings
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-17-v4 calibration-aware
Component Sub-score Weight Contribution
structure_score 75.0 0.15 11.25
security_score 98.9 0.25 24.73
testing_score 85.0 0.20 17.00
documentation_score 75.0 0.15 11.25
practices_score 40.0 0.15 6.00
code_quality 68.4 0.10 6.84
Overall 1.00 77.1
Calibrated penalty buckets (security_score): agent: 1.1
Severity distribution — click a segment to filter
Active filters: severity: low × excluding tests × Reset all
Severity: Critical 0 High 1 Medium 0 Low 1 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 3 System graph 0 Crowd 0 Layer: Quality 3
Scan summary Quality grade B+ (77/100). Dimensions: security 99, maintainability 75. 4 findings. 1,536 lines analyzed.

Showing 1 of 3 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

low Security checks quality Quality conf 0.68 Multiple AI-agent scaffold marker files are present
Repositories with several agent instruction, progress, or completion marker files are often generated scaffolds. They are not automatically wrong, but they deserve a reachability and ownership review before users treat the code as production-ready.
AGENTS.md:1
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
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