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ascentir-dev/ascentir-skills

https://github.com/ascentir-dev/ascentir-skills · scanned 2026-06-17 01:35 UTC (1 month, 2 weeks ago)

2 raw signals (0 security + 2 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 2 weeks ago · v2 · last Δ -10.0 (diff) · 2 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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Scan summary Repository scanned at 66.7/100 with 22.2% coverage. It contains 16 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 2 findings — concentrated in quality (2). Risk profile is low: 0 critical, 0 high, 1 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 2 of 2 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium System graph quality Agent instructions conf 1.00 Agent authority lacks a verifier contract: CURSOR.md
This agent instruction grants code or shell authority but does not state the verification gate that decides promotion. The recurring safe pattern is: LLM proposes; deterministic tests/build/security checks verify; only verified code promotes.
CURSOR.md VerificationAgent instruction
low System graph quality Agent instructions conf 1.00 Multiple root agent instruction files without precedence
The repo has multiple top-level AI-coder instruction files. Without precedence rules, different agents may follow different policies.
Governance
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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