Prowler is an open-source cloud security platform that checks cloud environments for security issues and compliance with standards such as CIS, NIST, and GDPR. Security teams use it to assess configurations, prioritize findings, produce reports, and guide remediation.
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.
npx skills add prowler-cloud/prowler --skill prowler-cigit clone --depth 1 https://github.com/prowler-cloud/prowlerWrote 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/skills/prowler-cloud/prowler/prowler-ci)<a href="https://agentmods.dev/skills/prowler-cloud/prowler/prowler-ci"><img src="https://agentmods.dev/badge/skills/prowler-cloud/prowler/prowler-ci.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 37 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00067 | $0.00802 |
| Opus 5 | $0.00034 | $0.00401 |
| Sonnet 5 | $0.00013 | $0.00160 |
| Haiku 4.5 | $0.00007 | $0.00080 |
Grade A, and why
prowler-ci scanned grade A with 0 findings 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What this skill covers
Use this skill whenever you are:
- Reading or changing GitHub Actions workflows under
.github/workflows/ - Explaining why a PR fails checks (title, changelog, conflict markers, secret scanning)
- Figuring out which workflows run for UI/API/SDK changes and why
- Diagnosing path-filtering behavior (why a workflow did/didn't run)
Quick map (where to look)
- PR template:
.github/pull_request_template.md - PR title validation:
.github/workflows/conventional-commit.yml - Changelog gate:
.github/workflows/pr-check-changelog.yml(requires a fragment under<component>/changelog.d/) - Changelog compile (release time):
.github/workflows/compile-changelogs.yml - Conflict markers check:
.github/workflows/pr-conflict-checker.yml - Secret scanning:
.github/workflows/find-secrets.yml - Auto labels:
.github/workflows/labeler.ymland.github/labeler.yml - Review ownership:
.github/CODEOWNERS
Debug checklist (PR failing checks)
- Identify which workflow/job is failing (name + file under
.github/workflows/). - Check path filters: is the workflow supposed to run for your changed files?
- If it's a title check: verify PR title matches Conventional Commits.
- If it's changelog: verify a valid fragment exists under the right
<component>/changelog.d/OR applyno-changeloglabel. - If it's conflict checker: remove
<<<<<<<,=======,>>>>>>>markers. - If it's secrets (TruffleHog): see section below.
TruffleHog Secret Scanning
TruffleHog scans for leaked secrets. Common false positives in test files:
Patterns that trigger TruffleHog:
sk-*T3BlbkFJ*- OpenAI API keysAKIA[A-Z0-9]{16}- AWS Access Keysghp_*/gho_*- GitHub tokens- Base64-encoded strings that look like credentials
Fix for test files:
# BAD - looks like real OpenAI key
api_key = "sk-test1234567890T3BlbkFJtest1234567890"
# GOOD - obviously fake
api_key = "sk-fake-test-key-for-unit-testing-only"
If TruffleHog flags a real secret:
- Remove the secret from the code immediately
- Rotate the credential (it's now in git history)
- Consider using
.trufflehog-ignorefor known false positives (rarely needed)
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 · 78 lines · 67 tokens per session scan A 94ab1a76da74
prowler-ci is a skill published in the GitHub repository prowler-cloud/prowler (14,767 stars, last pushed today), licensed Apache-2.0. It adds 67 tokens to every session and 802 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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