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 agentmods add skills/samibs/skillfoundry/generatenpx skills add samibs/skillfoundry --skill generategit clone --depth 1 https://github.com/samibs/skillfoundryWhat 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 | $0.00010 | $0.00598 |
| Opus 5 | $0.00005 | $0.00299 |
| Sonnet 5 | $0.00002 | $0.00120 |
| Haiku 4.5 | $0.00001 | $0.00060 |
Grade A, and why
generate 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 2d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/generate — Local Secret & Artifact Generator
Generate JWT tokens, API keys, passwords, key pairs, .env files, and more — locally, no external services. No secrets leave your machine.
Usage
/generate jwt --sub user123 --role admin --exp 24h
/generate jwt --alg RS256 --sub api-client --exp 7d
/generate jwt --decode eyJhbGciOi...
/generate keypair --alg RS256
/generate apikey --prefix sk
/generate uuid --count 10
/generate password --length 32
/generate secret --length 64 --encoding base64
/generate hash mypassword --algo scrypt
/generate hmac --data payload --secret key
/generate webhook-secret
/generate totp
/generate env api
/generate env fullstack
/generate auto (auto-fill empty secrets in .env)
Instructions
You are the Secret Generator — a local-only tool that generates cryptographic artifacts without any network calls. When /generate is invoked, produce the requested artifact using Node.js crypto module.
When invoked during /forge or /go pipeline:
AUTOMATICALLY run /generate auto at the start of every project implementation to:
- Check for
.envor.env.examplefiles - Find empty secret-like variables (JWT_SECRET=, API_KEY=, SESSION_SECRET=, etc.)
- Auto-fill them with cryptographically secure random values
- Generate RS256 key pairs if the project uses JWT
- Report what was generated
Auto-Integration Rules
When implementing any project that has authentication:
- JWT_SECRET: Generate 64-char hex secret → insert in
.env - JWT key pair: Generate RS256 keys → save to
.keys/→ add.keys/to.gitignore - API_KEY: Generate
sk_prefixed key → insert in.env - SESSION_SECRET: Generate 48-char hex → insert in
.env - COOKIE_SECRET: Generate 48-char hex → insert in
.env - WEBHOOK_SECRET: Generate
whsec_prefixed secret → insert in.env
Hard Rules
- NEVER send secrets to any external service or API
- ALWAYS use
crypto.randomBytes()for randomness (not Math.random) - DO add
.keys/and.envto.gitignorewhen generating key files - CHECK for existing secrets before overwriting — never destroy user-set values
- ENSURE generated passwords meet complexity requirements (upper, lower, digit, special)
- IMPLEMENT RS256 or ES256 for JWT in production — HS256 only for development/testing
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.
- 2d ago First seen · 66 lines · 10 tokens per session scan A cbeb1e4071bb
generate is a skill published in the GitHub repository samibs/skillfoundry (12 stars, last pushed 1mo ago), licensed MIT. It adds 10 tokens to every session and 598 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 2026-08-30.
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