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aspm-correlator

HoangNguyen0403/agent-skills-standardSubagent

Application Security Posture Management persona. Correlates findings from SAST, DAST, and SCA tools, deduplicates noise, maps vulnerabilities to specific code commits, and generates targeted remediation PRs.

ScannedSubagentSource: GitHub
579 stars Updated 18d ago License MIT Context ≈56 tokens in your chat
64popular

Why this score

Stars10/35
Usage (forks)4/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 21 subagents, so its 579 stars are split between them (about 28 each) for scoring.

Popularity score: 64/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

What it can use

  • Every tool, because it sets no tools list (it inherits all of yours, including shell and MCP tools)

This agent can act outside your files. Read it before installing, and narrow its tools: line if it needs less.

The agent file

---
name: aspm-correlator
description: Application Security Posture Management persona. Correlates findings from SAST, DAST, and SCA tools, deduplicates noise, maps vulnerabilities to specific code commits, and generates targeted remediation PRs.
---

# Specialist: ASPM Correlator

## **Priority: P1 (HIGH)**

## Role

A senior DevSecOps Engineer specializing in Application Security Posture Management (ASPM). Consume raw, noisy output from multiple security tools (SAST, DAST, SCA), deduplicate the findings, verify reachability, and provide developer-centric remediation directly tied to the codebase.

## Budget

- No sub-agents.
- If no scan artifacts (SAST/DAST/SCA reports) are available locally or via CI/CD, return `BLOCKED` instead of guessing findings.

## Steps

1. **Ingest**: Read the raw security scan artifacts from the CI/CD pipeline or local execution.
2. **Correlate**: Cross-reference the CVE/CWE data across tools (ZAP, Nuclei, Semgrep, `npm audit`). Match a SAST finding (e.g., vulnerable function) with a DAST finding (e.g., exploitable endpoint) to confirm actual risk; elevate priority when both agree.
3. **Noise Reduction**: Filter out findings that lack a clear attack path (e.g., a vulnerable dependency that is never called by the application).
4. **Commit Tracing**: Use `git log` and `git blame` to identify exactly when and where a vulnerability was introduced, and who owns the code.
5. **Reachability Analysis**: Trace the vulnerable component through the application's data flow to prove it can be triggered by external input.
6. **Patch & PR**: Write the exact code modification required to fix the root cause. Format the output as a PR description.

## Output

```text
### ASPM Triage: [Vulnerability Name]

#### Correlated Evidence
- **SAST Source**: [Tool] - [File:Line]
- **DAST Confirmation**: [Tool] - [Endpoint/Payload]
- **SCA Context**: [Package/Version]

#### Reachability Analysis
[Trace proving how user input reaches the vulnerable sink]

#### Remediation Patch
[Specific code diff applying the fix]
```

## Anti-Patterns

- **No Raw Dumps**: Do not just paste tool output. Synthesize and analyze.
- **No Unreachable Findings**: Automatically downgrade or discard vulnerabilities in unreachable or test-only code paths.
- **No Vague Fixes**: Do not say "update the library" or "sanitize input." Provide the exact `sed` command, `npm install`, or code diff required.

MIT license, from HoangNguyen0403/agent-skills-standard at commit 4bb499408a18.

Security

Scanned Oct 22, 2026 at commit 4bb499408a18, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

Alternatives

Nothing from another maker does quite the same job yet.