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SKILL verified MIT Self-run

Vuln Diagnose

skill-rifteo-skills-vuln-diagnose · by Rifteo

Builds deterministic, reproducible proof-of-concepts to validate suspected or partially-confirmed vulnerabilities (e.g., XSS, IDOR) and eliminate false positives. Triggered when tool outputs flag potential issues, or when manual confirmation of exploitability is required before documenting a finding.

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Install

$ agentstack add skill-rifteo-skills-vuln-diagnose

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

View the full security report →

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Reliability & compatibility

Security review passed
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2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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 →
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About

Vulnerability Diagnose

A suspected vulnerability is not a finding. Before writing anything, build a deterministic reproduction case. If you cannot reproduce it reliably, you cannot report it.

Inspired by the principle: a fast, deterministic, agent-runnable pass/fail signal is a superpower.

Process

Step 1 — State the Hypothesis

Write one sentence: "I believe [vulnerability type] exists at [endpoint/component] because [observed behaviour]."

This is the claim. Everything that follows either confirms or disproves it.

Step 2 — Build the Feedback Loop

Create the minimal test case that produces a binary YES/NO answer:

  • An HTTP request that succeeds when it shouldn't
  • A payload that executes when it shouldn't
  • A response that contains data it shouldn't

The test must be:

  • Reproducible — same result every time
  • Minimal — only the essential input, no noise
  • Unambiguous — pass is clearly different from fail

If you can't build this test case, the hypothesis is not testable yet. Stop and gather more information.

Step 3 — Test Alternate Explanations

Before confirming, rule out:

  • Caching (replay the request — is the result fresh?)
  • Rate limiting (does it fail on the 5th attempt?)
  • Session dependency (does it work with a fresh session?)
  • Race conditions (does it fail on a second run?)

Step 4 — Confirm the Impact

Actually demonstrate the worst-case impact:

  • For data access: retrieve data belonging to another user
  • For XSS: execute alert(document.domain) or exfiltrate a cookie
  • For SQLi: extract a row from a table not intended to be accessible
  • For privilege escalation: perform an admin action with a user token

A confirmed impact requires evidence (HTTP request + response, screenshot, extracted data).

Step 5 — Document

Produce a Minimal Reproduction Case:

Vulnerability: [type]
Endpoint: [METHOD] [URL]
Precondition: [e.g., logged in as user A]

Request:
[exact HTTP request]

Response:
[relevant snippet proving the issue]

Confirmed impact: [what was demonstrated]
Reproducible: YES / NO (notes if flaky)

Then pass this to finding-writer to produce the full finding.

Rules

  • No exploit, no finding — Shannon's rule. If you cannot demonstrate impact, downgrade to "suspected" and label it clearly
  • Never report a finding based on tool output alone without manual confirmation
  • If the test is flaky (fails intermittently), investigate root cause before reporting
  • One hypothesis per session — do not stack unconfirmed vulnerabilities

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.