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 armanzeroeight/fastagent-plugins --skill secrets-detectorgit clone --depth 1 https://github.com/armanzeroeight/fastagent-pluginsWrote 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/armanzeroeight/fastagent-plugins/secrets-detector)<a href="https://agentmods.dev/skills/armanzeroeight/fastagent-plugins/secrets-detector"><img src="https://agentmods.dev/badge/skills/armanzeroeight/fastagent-plugins/secrets-detector/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/armanzeroeight/fastagent-plugins/secrets-detector"><img src="https://agentmods.dev/badge/skills/armanzeroeight/fastagent-plugins/secrets-detector.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 | $0.00037 | $0.00957 |
| Opus 5.5 | $0.00015 | $0.00383 |
| Sonnet 5.5 | $0.00007 | $0.00191 |
| Haiku 4.5 | $0.00004 | $0.00096 |
Grade A, and why
secrets-detector 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 1mo 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Secrets Detector
Quick Start
Scan for secrets using gitleaks:
# Install
brew install gitleaks # macOS
# or
pip install detect-secrets
# Scan current directory
gitleaks detect --source .
Instructions
Step 1: Choose Detection Tool
Gitleaks (recommended):
gitleaks detect --source . --verbose
detect-secrets:
detect-secrets scan . --all-files
Manual grep patterns:
grep -rn "AKIA[0-9A-Z]{16}" . # AWS Access Key
grep -rn "ghp_[a-zA-Z0-9]{36}" . # GitHub Token
Step 2: Scan for Common Patterns
| Secret Type | Pattern | Example |
|---|---|---|
| AWS Access Key | AKIA[0-9A-Z]{16} |
AKIAIOSFODNN7EXAMPLE |
| AWS Secret Key | [A-Za-z0-9/+=]{40} |
wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY |
| GitHub Token | ghp_[a-zA-Z0-9]{36} |
ghp_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx |
| GitHub OAuth | gho_[a-zA-Z0-9]{36} |
gho_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx |
| Slack Token | xox[baprs]-[0-9a-zA-Z-]+ |
xoxb-123456789-abcdefghij |
| Private Key | -----BEGIN.*PRIVATE KEY----- |
RSA/EC private keys |
| Generic API Key | api[_-]?key.*=.*['\"][a-zA-Z0-9]{20,} |
api_key = "abc123..." |
| Generic Password | password.*=.*['\"][^'\"]+['\"] |
password = "secret123" |
Step 3: Check Git History
Secrets may exist in git history even if removed:
# Scan entire git history
gitleaks detect --source . --log-opts="--all"
# Check specific commits
git log -p --all -S 'password' --source
Step 4: Categorize Findings
Critical - Immediate rotation required:
- Cloud provider credentials (AWS, GCP, Azure)
- Database connection strings
- Private keys
High - Rotate soon:
- API keys for external services
- OAuth tokens
- Webhook secrets
Medium - Review and rotate:
- Internal service tokens
- Test credentials that might be reused
Step 5: Report Findings
## Secrets Detection Report
### Critical (1)
1. **AWS Secret Key** - config/aws.js:12
- Type: AWS credentials
- Action: Rotate immediately in AWS console
### High (2)
1. **GitHub Token** - scripts/deploy.sh:45
- Type: Personal access token
- Action: Revoke and regenerate
2. **Slack Webhook** - src/notifications.js:23
- Type: Incoming webhook URL
- Action: Regenerate webhook
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.
- 1mo ago First seen · 156 lines · 37 tokens per session scan A 1cae747b050f
secrets-detector is a skill published in the GitHub repository armanzeroeight/fastagent-plugins (29 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 957 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
guizang-ppt-skill
A skill for creating presentation decks as single HTML files that users can move through horizontally in a browser. It provides templates with WebGL backgrounds, chapter title screens, large data displays, and image grids, in either an editorial or Swiss-style visual direction.
proma-coach
A Chinese-language coach for improving how people use Proma, Agent, Skill, Chat, and project tools.
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
automation
A built-in workflow for creating and managing automatic or scheduled tasks. It covers one-time delays, repeated runs, monitoring, reminders, run history, and changing or stopping existing tasks.
agent-collaboration
A collaboration workflow coordinates coding sub-agents, which are separate assistant sessions working on parts of a task.
docx
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when…