vuln-assess-phase
Skill884 starsChanged 4 months agoMITView on GitHub
Vulnerability analysis — triage scanner output, verify manually, score with CVSS, mark false positives. Use when the current phase is VULN_ASSESS.
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 21
Every scanner hit gets one of:
- Distinctive: line 38
Never report a vuln you could not reproduce — the retest will destroy client trust.
- Distinctive: line 39
Keep scanner timing/rate in evidence: a DoS-looking outage during scan ruins the report.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Vulnerability Analysis — Scan, Verify, Score
Raw scanner output is 80% noise. This phase exists to VERIFY and PRIORITIZE, not to collect CVEs.
Automated scan
nuclei -u TARGET -severity critical,high -t ~/nuclei-templates/ -json -o nuclei.json
# authenticated nuclei when creds exist (10x coverage): -H 'Authorization: Bearer ...'
nikto -h https://target -Format json -o nikto.json # web misconfig baseline- Authenticated scans > anonymous scans everywhere (Nessus/OpenVAS/Nuclei): login first, then scan.
- Parse into state with
nuclei_parse— dedupes and links vulns to hosts automatically.
Manual verification — MANDATORY before marking confirmed
Every scanner hit gets one of:
- Confirmed — reproduce manually, capture request/response as evidence
- False positive — record WHY (version patched, control in place); don't just delete
- Needs auth/context — defer to exploitation phase with the required creds attached
Classic FP sources: version banners lying (custom builds), WAF returning 200 for everything, template regex matching error pages.
CVSS scoring for prioritization
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H = 9.8 Critical
- Prioritize by: exploitability (AV:N + no auth + public PoC) × impact, not by CVSS alone.
- A 9.8 unauthenticated RCE beats a 9.1 post-auth one. An exposure with active in-the-wild exploitation (CISA KEV) beats both.
Correlation across findings
- 3 "medium" findings chaining to RCE = one "critical" attack path (
attack_path_suggest). - Info leaks (versions, stack traces, .git exposure) feed other findings — chain them, don't score them isolated.
Gotchas
- Never report a vuln you could not reproduce — the retest will destroy client trust.
- Keep scanner timing/rate in evidence: a DoS-looking outage during scan ruins the report.
- Store evidence (PoC requests, screenshots) at confirmation time, not at reporting time.
In this repository31 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- enumeration-phaseSkill
- exploitation-phaseSkill
- post-exploit-phaseSkill
- recon-phaseSkill
- reporting-phaseSkill
- playbook-adSkill
- playbook-apiSkill
- playbook-cloudSkill
- playbook-methodologySkill
- playbook-social-engineeringSkill
- playbook-webappSkill
- svc-cicdSkill
- svc-databaseSkill
- svc-docker-k8sSkill
- svc-ftpSkill
- svc-mobile-androidSkill
- svc-mobile-iosSkill
- svc-pivotingSkill
- svc-smbSkill
- svc-sshSkill
- svc-web-serverSkill
- web-auth-bypass-idorSkill
- web-deserializationSkill
- web-lfi-traversalSkill
- web-sqliSkill
- web-ssrfSkill
- web-sstiSkill
- web-upload-rceSkill
- web-xxeSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

