Borrowing it
Nothing to install: this file belongs to nbiish/agentsstandard-dot-com. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nbiish/agentsstandard-dot-com/main/.agents/skills/pqc-secrets/SKILL.mdgit clone --depth 1 https://github.com/nbiish/agentsstandard-dot-comWrote 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/nbiish/agentsstandard-dot-com/pqc-secrets)<a href="https://agentmods.dev/skills/nbiish/agentsstandard-dot-com/pqc-secrets"><img src="https://agentmods.dev/badge/skills/nbiish/agentsstandard-dot-com/pqc-secrets.svg" alt="Measured on agentmods" 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 | $0.00025 | $0.01657 |
| Opus 5 | $0.00013 | $0.00829 |
| Sonnet 5 | $0.00005 | $0.00331 |
| Haiku 4.5 | $0.00003 | $0.00166 |
Grade A, and why
pqc-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 7d 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PQC Secrets Management Agent Skill
Companion skill: pqc-signatures-security — ML-DSA-65 code signing, integrity verification, and secure coding patterns. Use both together for complete PQC coverage: this skill encrypts secrets at rest; pqc-signatures-security verifies code hasn't been tampered with.
This skill provides comprehensive instructions, policies, and blueprints for managing repository and application secrets (API keys, credentials, private user data) using post-quantum cryptographic (PQC) algorithms.
AI agents using this skill are equipped to:
- Protect credentials at rest and in memory using FIPS-compliant algorithms.
- Integrate with the platform's native keychain and standard runtime environments.
- Validate environments and ensure zero plaintext credentials are written to disk.
1. Core Philosophy: Zero Plaintext on Disk
Traditional secrets management relies heavily on plaintext .env files or insecure environment variables. Under the PQC mandate:
- Always protect API keys and private data with FIPS 203 (ML-KEM-768) key encapsulation and AES-256-GCM symmetric encryption.
- Never store raw API keys, secrets, or tokens in git repositories, task files, logs, or local unencrypted files.
- Always load secrets on-demand directly into the shell environment from an encrypted bundle, and ensure they never persist to disk.
2. Infrastructure Architecture
The local secrets infrastructure lives at ~/.config/pqc-secrets/:
macOS Keychain ~/.config/pqc-secrets/
┌──────────────────────┐ ┌────────────────────────────┐
│ service: pqc-secrets │ │ recipient.pub │
│ ML-KEM-768 secret key│ │ ML-KEM-768 public key │
│ (Secure Enclave) │ │ (safe to commit) │
└──────────┬───────────┘ └────────────┬───────────────┘
│ │
│ decaps (ML-KEM-768) │ encaps
▼ ▼
┌──────────────────────────────────────────────────────────────┐
│ secrets.bundle.json │
│ ┌─────────────────┐ ┌──────────────────────────────────┐ │
│ │ kem.ciphertext │ │ data.ciphertext (AES-256-GCM) │ │
│ │ (ML-KEM-768) │ │ 24+ API keys encrypted at rest │ │
│ └─────────────────┘ └──────────────┬───────────────────┘ │
└──────────────────────────────────────┼───────────────────────┘
│ decrypt
▼
┌──────────────────────────────────────────────────────────────┐
│ Exported environment variables (never touch disk) │
│ ANTHROPIC_AUTH_TOKEN ZENMUX_API_KEY NEBIUS_API_KEY │
│ OPENROUTER_API_KEY WAFER_API_KEY ... (in-memory only) │
└──────────────────────────────────────────────────────────────┘
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.
- 7d ago First seen · 142 lines · 25 tokens per session scan A c61cb9680f34
pqc-secrets is a skill published in the GitHub repository nbiish/agentsstandard-dot-com (2 stars, last pushed 3mo ago), licensed MIT. It adds 25 tokens to every session and 1,657 once invoked, about $0.0001 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 2026-08-31.
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