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 catpilotai/catpilot-ai-guardrails --skill secret-blockinggit clone --depth 1 https://github.com/catpilotai/catpilot-ai-guardrailsWrote 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/catpilotai/catpilot-ai-guardrails/secret-blocking)<a href="https://agentmods.dev/skills/catpilotai/catpilot-ai-guardrails/secret-blocking"><img src="https://agentmods.dev/badge/skills/catpilotai/catpilot-ai-guardrails/secret-blocking/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/catpilotai/catpilot-ai-guardrails/secret-blocking"><img src="https://agentmods.dev/badge/skills/catpilotai/catpilot-ai-guardrails/secret-blocking.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 | $0.00101 | $0.03790 |
| Opus 5 | $0.00051 | $0.01895 |
| Sonnet 5 | $0.00020 | $0.00758 |
| Haiku 4.5 | $0.00010 | $0.00379 |
Grade A, and why
secret-blocking 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 11d 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.
inline credentials, environment variable assignments, or `curl -H` headers. How it starts
The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to apply
Apply on every code generation, file write, file edit, and diff review.
Apply also on shell commands the agent is about to execute that include
inline credentials, environment variable assignments, or curl -H headers.
This skill is one of the always-on critical skills. It is cheap to evaluate (regex over the diff or the proposed write), and the cost of a false negative is a leaked credential that ends up in git history forever.
Why
A hardcoded secret in a public repository has, on average, been scraped within minutes of the push. Rotation is required even if the commit is deleted — git history is forever, and bots monitor force-pushes too. Detection at the agent layer, before the file write, is the cheapest place to catch this.
Rules
- [critical] Never write a literal secret into source code, config files, comments, test fixtures, or documentation.
- [critical] Never echo a secret in a shell command the agent intends to
run (e.g.
curl -H "Authorization: Bearer sk-ant-..."). Use environment variables. - [critical] Never paste a secret into a commit message, PR description, or issue body.
- [high] Never write
.envfiles containing real secrets. Generate.env.examplewith placeholder values instead, and ensure.envis in.gitignore. - [high] Never include a secret in a log statement, even at DEBUG level.
- [medium] Prefer secret managers (AWS Secrets Manager, Azure Key Vault,
Google Secret Manager, HashiCorp Vault, Doppler, 1Password Secrets
Automation) over
.envfor production deployments. - [medium] When generating example code, use clearly fake placeholders
(
your-api-key-here,REPLACE_ME) rather than realistic-looking strings.
[!agent] When you detect a match for any pattern in the "Detection patterns" table below, stop. Do not write the file. Surface the match to the user, name the provider, and propose the environment-variable or secret-manager remediation. Do not proceed without explicit confirmation that the value is a known-fake test fixture.
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.
- 11d ago First seen · 311 lines · 101 tokens per session scan A 322b143b4621
secret-blocking is a skill published in the GitHub repository catpilotai/catpilot-ai-guardrails (2 stars, last pushed 2mo ago), licensed MIT. It adds 101 tokens to every session and 3,790 once invoked, about $0.0005 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 2026-08-31.
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