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 rad-security/claude-code-plugin --skill secretsgit clone --depth 1 https://github.com/rad-security/claude-code-pluginWrote 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/rad-security/claude-code-plugin/secrets)<a href="https://agentmods.dev/skills/rad-security/claude-code-plugin/secrets"><img src="https://agentmods.dev/badge/skills/rad-security/claude-code-plugin/secrets/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.
<a href="https://agentmods.dev/skills/rad-security/claude-code-plugin/secrets"><img src="https://agentmods.dev/badge/skills/rad-security/claude-code-plugin/secrets.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00050 | $0.01519 |
| Opus 5.5 | $0.00020 | $0.00608 |
| Sonnet 5.5 | $0.00010 | $0.00304 |
| Haiku 4.5 | $0.00005 | $0.00152 |
Grade A, and why
secrets 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 2mo 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AgentKeeper Secret Scanner
You are scanning the current working directory for exposed secrets. This runs entirely locally — no network calls.
CRITICAL: NEVER print, display, or echo actual secret values. Show only the file path, line number, pattern type, and a masked preview.
Step 1: Find Secret Files
Use Glob and Bash to locate files that commonly contain secrets:
Environment files
find . -maxdepth 5 -type f \( -name ".env" -o -name ".env.*" -o -name ".env.local" -o -name ".env.production" -o -name ".env.development" \) ! -path "*/node_modules/*" ! -path "*/.git/*" 2>/dev/null
Private key files
find . -maxdepth 5 -type f \( -name "*.pem" -o -name "*.key" -o -name "*.p12" -o -name "*.pfx" -o -name "id_rsa" -o -name "id_ed25519" -o -name "id_ecdsa" -o -name "*.keystore" \) ! -path "*/node_modules/*" ! -path "*/.git/*" 2>/dev/null
Cloud credential files
find . -maxdepth 5 -type f \( -name "credentials" -o -name "credentials.json" -o -name "service-account*.json" -o -name "application_default_credentials.json" \) ! -path "*/node_modules/*" ! -path "*/.git/*" 2>/dev/null
Step 2: Scan Source Files for Secret Patterns
Use Grep to search for secret patterns in source code files. Search in common source file extensions only (to avoid binaries). For each pattern, collect file path, line number, and the pattern type.
AWS Access Keys
AKIA[0-9A-Z]{16}
AWS Secret Keys
(?i)(aws_secret_access_key|aws_secret_key)\s*[=:]\s*\S+
Stripe Keys
(sk_live_|rk_live_|sk_test_|rk_test_)[a-zA-Z0-9]{20,}
GitHub Tokens
(ghp_|gho_|ghu_|ghs_|ghr_)[a-zA-Z0-9]{36,}
Generic API Key Patterns
(?i)(api[_-]?key|apikey|api[_-]?secret)\s*[=:]\s*['"][a-zA-Z0-9_\-]{20,}['"]
Private Key Headers
-----BEGIN (RSA |EC |DSA |OPENSSH )?PRIVATE KEY-----
Database Connection Strings
(?i)(mongodb|postgres|postgresql|mysql|redis|amqp):\/\/[^\s'"]+:[^\s'"]+@
JWT Tokens (hardcoded)
eyJ[a-zA-Z0-9_-]{10,}\.eyJ[a-zA-Z0-9_-]{10,}\.[a-zA-Z0-9_-]+
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.
- 2mo ago First seen · 163 lines · 50 tokens per session scan E 8dc61e809f0e
secrets is a skill published in the GitHub repository rad-security/claude-code-plugin (3 stars, last pushed 23d ago), licensed MIT. It adds 50 tokens to every session and 1,519 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
secrets compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| secretsrad-security/claude-code-plugin | Skill | 3 | 23d ago | MIT | A | 50 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |