vuln-researcher

vuln-researcher is an agent for Claude Code from mukul975/Threatswarm. It costs 84 tokens per session (3,441 once invoked), scanned A, original, MIT.

A vulnerability-research specialist for investigating known software flaws, identified by CVE numbers, and assessing whether they apply to a target version. It researches advisories and exploit examples, checks proof-of-concept reliability, and helps coordinate responsible disclosure.

In plain words
What is it for?
Use it to query vulnerability databases, compare findings with exploit references, verify versions, assess severity, and organize authorized proof-of-concept research.
Why use it?
It reduces the risk of chasing a vulnerability that does not match the target and helps separate credible, relevant evidence from unreliable exploit claims.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

Good fit Use it to query vulnerability databases, compare findings with exploit references, verify versions, assess severity, and organize authorized proof-of-concept research.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/mukul975/threatswarm/vuln-researcher
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/mukul975/Threatswarm

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for vuln-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/mukul975/threatswarm/vuln-researcher/github.svg)](https://agentmods.dev/agents/mukul975/threatswarm/vuln-researcher)
Your own site
<a href="https://agentmods.dev/agents/mukul975/threatswarm/vuln-researcher"><img src="https://agentmods.dev/badge/agents/mukul975/threatswarm/vuln-researcher/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for vuln-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/mukul975/threatswarm/vuln-researcher"><img src="https://agentmods.dev/badge/agents/mukul975/threatswarm/vuln-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,441 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00084 $0.03441
Opus 5 $0.00042 $0.01721
Sonnet 5 $0.00017 $0.00688
Haiku 4.5 $0.00008 $0.00344

Measured 12d ago against content hash 5b319a7da3dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

vuln-researcher scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s "https://services.nvd.nist.gov/rest/json/cves/2.0?cveId=$CVE_ID" | \
.claude/agents/vuln-researcher.md · 326 lines

How it starts

The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cybersecurity Skills (Invoke First)

Before starting vulnerability research, invoke these skills via the Skill tool:

  • cybersecurity-skills:performing-vulnerability-scanning-with-nessus
  • cybersecurity-skills:performing-authenticated-vulnerability-scan
  • cybersecurity-skills:performing-cve-prioritization-with-kev-catalog
  • cybersecurity-skills:prioritizing-vulnerabilities-with-cvss-scoring
  • cybersecurity-skills:triaging-vulnerabilities-with-ssvc-framework
  • cybersecurity-skills:implementing-epss-score-for-vulnerability-prioritization
  • cybersecurity-skills:building-patch-tuesday-response-process
  • cybersecurity-skills:building-vulnerability-scanning-workflow

Scope Enforcement

Verify target service/version matches the CVE being researched. PoC code must include scope_check() before any exploitation code. Do not exploit vulnerabilities on systems not in scope.txt.

CVE Research Workflow

mkdir -p evidence/$(date +%Y%m%d)/$TARGET/vulns/{cve,exploits,pocs}

# NVD API v2 — authoritative CVE data
curl -s "https://services.nvd.nist.gov/rest/json/cves/2.0?cveId=$CVE_ID" | \
  python3 -c "
import sys, json
data = json.load(sys.stdin)
vuln = data.get('vulnerabilities', [{}])[0].get('cve', {})
desc = vuln.get('descriptions', [{}])[0].get('value', 'No description')
metrics = vuln.get('metrics', {})
cvss31 = metrics.get('cvssMetricV31', [{}])[0].get('cvssData', {})
cvss30 = metrics.get('cvssMetricV30', [{}])[0].get('cvssData', {})
score_data = cvss31 if cvss31 else cvss30

print(f'CVE: {vuln.get(\"id\", \"Unknown\")}')
print(f'Published: {vuln.get(\"published\", \"Unknown\")}')
print(f'Modified: {vuln.get(\"lastModified\", \"Unknown\")}')
print(f'CVSS Score: {score_data.get(\"baseScore\", \"N/A\")} {score_data.get(\"baseSeverity\", \"\")}')
print(f'Vector: {score_data.get(\"vectorString\", \"N/A\")}')
print(f'Description: {desc[:500]}')
refs = vuln.get('references', [])
print(f'References: {len(refs)}')
for r in refs[:5]:
    print(f'  - {r.get(\"url\", \"\")}')
" 2>&1 | tee evidence/$(date +%Y%m%d)/$TARGET/vulns/cve/${CVE_ID}.txt

# NVD API — search by keyword
curl -s "https://services.nvd.nist.gov/rest/json/cves/2.0?keywordSearch=$SERVICE+$VERSION&resultsPerPage=20" | \
  python3 -c "
import sys, json
data = json.load(sys.stdin)
vulns = data.get('vulnerabilities', [])
print(f'Total results: {data.get(\"totalResults\", 0)}')
for v in vulns:
    cve = v.get('cve', {})
    cid = cve.get('id', '')
    desc = cve.get('descriptions', [{}])[0].get('value', '')[:100]
    metrics = cve.get('metrics', {})
    score = metrics.get('cvssMetricV31', [{}])[0].get('cvssData', {}).get('baseScore', 'N/A')
    print(f'{cid} | Score: {score} | {desc}')
" 2>&1 | tee evidence/$(date +%Y%m%d)/$TARGET/vulns/cve/nvd_search.txt

Read the full file on GitHub · 326 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 326 lines · 0 tokens per session scan A 5b319a7da3dd

Subscribe to this mod's changes

vuln-researcher is an agent published in the GitHub repository mukul975/Threatswarm (78 stars, last pushed 4mo ago), licensed MIT. It adds 84 tokens to every session and 3,441 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other agents, from other repositories

malware-analyst

Delegates to this agent when the user asks about malware analysis, reverse engineering, binary analysis, disassembly, debugging, sandbox analysis, static analysis, dynamic analysis, or suspicious file triage.

0xSteph/pentest-ai-agents · 44 tokens

osint-collector

Delegates to this agent when the user asks about OSINT, reconnaissance, information gathering, target profiling, email harvesting, subdomain enumeration, social media recon, breach data, open source intelligence, or building a target dossier for authorized engagements.

0xSteph/pentest-ai-agents · 53 tokens

chain-builder

Exploit chain builder. Given bug A, identifies B and C candidates to chain for higher severity and payout. Knows all major chain patterns — IDOR→auth bypass, SSRF→cloud metadata, XSS→ATO, open redirect→OAuth theft, S3→bundle→secret→OAuth, prompt injection→IDOR, subdomain takeover→OAuth redirect. Use when you have a…

Awarexone/Agentic-Bug-Hunter · 96 tokens

detection-engineer

Delegates to this agent when the user asks about detection rules, SIEM queries, threat hunting, indicator analysis, log analysis, blue team detection for specific attack techniques, or creating detection engineering content.

0xSteph/pentest-ai-agents · 45 tokens

exploit-guide

Delegates to this agent when the user asks about exploitation techniques, attack methodologies, tool configurations for authorized testing, post-exploitation activities, or specific vulnerability exploitation paths.

0xSteph/pentest-ai-agents · 37 tokens

compliance-mapper

Delegates to this agent when the user wants to map penetration-test findings to compliance frameworks — PCI DSS, NIST 800-53 / CSF, ISO 27001, CIS Controls, HIPAA, SOC 2 — produce control-gap analysis, and translate technical findings into compliance impact. Distinct from stig-analyst (STIG hardening) and…

0xSteph/pentest-ai-agents · 84 tokens