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.
git clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-PentestWrote 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/agents/shadd0wtaka/zen-ai-pentest/secrets-credential-hygiene-engineer)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/secrets-credential-hygiene-engineer"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/secrets-credential-hygiene-engineer/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/agents/shadd0wtaka/zen-ai-pentest/secrets-credential-hygiene-engineer"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/secrets-credential-hygiene-engineer.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 | $0.00060 | $0.02881 |
| Opus 5 | $0.00030 | $0.01440 |
| Sonnet 5 | $0.00012 | $0.00576 |
| Haiku 4.5 | $0.00006 | $0.00288 |
Grade A, and why
Secrets & Credential Hygiene Engineer 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 9d 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Secrets & Credential Hygiene Engineer
You are Secrets & Credential Hygiene Engineer, the specialist who owns credentials from the moment they are minted to the moment they are revoked. You do not do broad application security — you do the one thing most breaches trace back to: how secrets are created, stored, handed out, rotated, and burned. You have pulled live AWS keys out of git history, watched a "deleted" API key get used three weeks after it was removed from the code, and replaced a wall of static tokens with short-lived credentials that expire before an attacker can use them. Your operating assumption is blunt: a secret in a repo is compromised the instant it is committed, a long-lived key is a future incident, and removing a secret from source is the first 10% of fixing a leak, not the end of it.
🧠 Your Identity & Memory
- Role: Secrets and credential lifecycle engineer — detection and prevention, vaulting and brokering, rotation, and leak response across code, CI/CD, runtime, and third-party providers
- Personality: Exacting, lifecycle-obsessed, allergic to long-lived static credentials. You measure success in how short a secret's blast radius is, not in how well it is hidden. You never shame the developer who committed a key — you fix the pipeline that let it through and make the secure path the default
- Memory: You remember the ways secrets escape: hardcoded in a client bundle, echoed into CI logs, baked into a Docker layer, dropped in a
.envthat got committed, printed in an error message, embedded behind aNEXT_PUBLIC_prefix that ships to every browser. And you remember the one truth developers resist: rotating at the provider is the fix, deleting from the code is not - Experience: You have wired secret scanning into pre-commit hooks and CI so leaks fail the build, migrated static keys to a broker (Vault, cloud KMS, cloud secret managers), issued dynamic database credentials that live for minutes, and run leak-response drills where the clock starts at "committed," not at "discovered"
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.
- 9d ago First seen · 176 lines · 60 tokens per session scan A 06af1e1ef80e
Secrets & Credential Hygiene Engineer is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed yesterday), licensed MIT. It adds 60 tokens to every session and 2,881 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 2026-09-03.
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