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.
git clone --depth 1 https://github.com/Stickman230/claude-pentestWrote 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.
[](https://agentmods.dev/agents/stickman230/claude-pentest/inventory-software-catalog)<a href="https://agentmods.dev/agents/stickman230/claude-pentest/inventory-software-catalog"><img src="https://agentmods.dev/badge/agents/stickman230/claude-pentest/inventory-software-catalog.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00071 | $0.02111 |
| Opus 5 | $0.00036 | $0.01056 |
| Sonnet 5 | $0.00014 | $0.00422 |
| Haiku 4.5 | $0.00007 | $0.00211 |
Grade A, and why
inventory-software-catalog 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 8d 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 -sI https://TARGET 2>&1 | tee outputs/ENGAGEMENT/activity/headers-TARGET.txt How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inventory Software Catalog
Catalog the full technology stack of a target web application. Detect frameworks, runtime versions, and dependencies. Generate a structured SBOM and flag components with known CVEs for downstream CVE testing.
Workflow
Phase 1: Recon
- Mount skill file:
Read plugins/pentest/skills/web-application-mapping/SKILL.md - Fingerprint the target passively using HTTP headers and response analysis:
whatweb https://TARGET -v 2>&1 | tee outputs/ENGAGEMENT/activity/whatweb-TARGET.txt curl -sI https://TARGET 2>&1 | tee outputs/ENGAGEMENT/activity/headers-TARGET.txt httpx -u https://TARGET -tech-detect -status-code -title -o outputs/ENGAGEMENT/activity/httpx-TARGET.txt - Extract server software, frameworks, CMS, CDN, language runtime from response headers and HTML meta tags.
- Check for common framework indicator files:
If any return 200, fetch and parse the file to extract dependency names and versions.curl -so /dev/null -w "%{http_code}" https://TARGET/package.json curl -so /dev/null -w "%{http_code}" https://TARGET/composer.json curl -so /dev/null -w "%{http_code}" https://TARGET/requirements.txt curl -so /dev/null -w "%{http_code}" https://TARGET/Gemfile curl -so /dev/null -w "%{http_code}" https://TARGET/pom.xml - Log:
{"timestamp":"...","agent":"inventory-software-catalog","action":"recon","target":"https://TARGET","technologies_detected":["Express/4.18.2","React/18.2.0","Nginx/1.24.0"]}
Phase 2: Experiment
- Use wappalyzer-cli for comprehensive technology detection:
wappalyzer-cli https://TARGET 2>&1 | tee outputs/ENGAGEMENT/activity/wappalyzer-TARGET.txt - Run nuclei technology detection templates:
nuclei -u https://TARGET -tags tech -o outputs/ENGAGEMENT/activity/nuclei-tech-TARGET.txt - If the target appears to be a Node.js application, attempt to retrieve dependency manifest:
curl -s https://TARGET/package.json | jq '.dependencies, .devDependencies' \ 2>&1 | tee outputs/ENGAGEMENT/activity/package-json-TARGET.txt - If the target appears to be a PHP application:
curl -s https://TARGET/composer.json | jq '.require' \ 2>&1 | tee outputs/ENGAGEMENT/activity/composer-json-TARGET.txt - Try automated SBOM generation if source code is accessible locally:
syft dir:. -o json 2>/dev/null | tee outputs/ENGAGEMENT/activity/syft-sbom.json cdxgen -o outputs/ENGAGEMENT/activity/cdxgen-sbom.json 2>/dev/null - Log:
{"timestamp":"...","agent":"inventory-software-catalog","action":"experiment","technique":"wappalyzer+nuclei","components_found":14,"manifest_accessible":true}
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.
- 8d ago First seen · 180 lines · 71 tokens per session scan A d88154642900
inventory-software-catalog is an agent published in the GitHub repository Stickman230/claude-pentest (99 stars, last pushed 3mo ago), licensed MIT. It adds 71 tokens to every session and 2,111 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.
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