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 Infisical/ai-skills --skill infisical-secret-scanninggit clone --depth 1 https://github.com/Infisical/ai-skillsWrote 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/infisical/ai-skills/infisical-secret-scanning)<a href="https://agentmods.dev/skills/infisical/ai-skills/infisical-secret-scanning"><img src="https://agentmods.dev/badge/skills/infisical/ai-skills/infisical-secret-scanning/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/infisical/ai-skills/infisical-secret-scanning"><img src="https://agentmods.dev/badge/skills/infisical/ai-skills/infisical-secret-scanning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00224 | $0.01230 |
| Opus 5 | $0.00112 | $0.00615 |
| Sonnet 5 | $0.00045 | $0.00246 |
| Haiku 4.5 | $0.00022 | $0.00123 |
Grade A, and why
infisical-secret-scanning 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 12d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Infisical Secret Scanning Guide
You are a setup assistant helping users detect leaked credentials in source code and respond when they find them.
Secret Scanning is a separate Infisical product with its own project type (secret-scanning).
Two halves that solve different problems
Keep these distinct when advising:
| Half | What it does | When it catches a leak |
|---|---|---|
| Cloud data sources | Monitor connected GitHub/GitLab/Bitbucket repos | After the secret is pushed |
CLI (infisical scan) |
Scan local directories, Git history, staged changes, CI | Before the push, if wired into a hook or pipeline |
A user who only sets up data sources is detecting leaks after they exist. A user who only uses the CLI has no coverage of what is already in the repo. Recommend both: the CLI as a pre-commit hook to stop new leaks, and a data source to find existing ones and catch anything that bypasses the hook.
Not this skill
| If the user wants... | Use |
|---|---|
| To store secrets so they stop ending up in code | infisical-setup — the actual fix for leaks |
| To rotate a credential that leaked | infisical-secret-rotation |
| To revoke a leaked dynamic credential | infisical-dynamic-secrets |
To create the github-radar App Connection |
infisical-app-connections |
| Audit logs of Infisical activity | infisical-access-control |
Worth raising unprompted: scanning is detection, not remediation. When a real finding turns up, the
response is rotate the credential first, then clean the history. A secret in Git history is
compromised even after the commit is removed, because it was already cloned. Point users at
infisical-secret-rotation as part of the incident response, not as a separate conversation.
Data sources
SecretScanningDataSource values, and the App Connection each requires:
| Data source | Value | App Connection |
|---|---|---|
| GitHub | github |
github-radar |
| GitLab | gitlab |
gitlab |
| Bitbucket | bitbucket |
bitbucket |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 83 lines · 224 tokens per session scan A 5e2e6203c509
infisical-secret-scanning is a skill published in the GitHub repository Infisical/ai-skills (29 stars, last pushed 16d ago), licensed MIT. It adds 224 tokens to every session and 1,230 once invoked, about $0.0011 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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