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 mgiovani/cc-arsenal --skill env-setupgit clone --depth 1 https://github.com/mgiovani/cc-arsenalWrote 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/mgiovani/cc-arsenal/env-setup)<a href="https://agentmods.dev/skills/mgiovani/cc-arsenal/env-setup"><img src="https://agentmods.dev/badge/skills/mgiovani/cc-arsenal/env-setup/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/mgiovani/cc-arsenal/env-setup"><img src="https://agentmods.dev/badge/skills/mgiovani/cc-arsenal/env-setup.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 | $0.00125 | $0.01954 |
| Opus 5.5 | $0.00050 | $0.00782 |
| Sonnet 5.5 | $0.00025 | $0.00391 |
| Haiku 4.5 | $0.00013 | $0.00195 |
Grade A, and why
env-setup 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 22d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Env Setup
Scan the codebase for environment variable usage, generate or update .env.example, validate .env completeness, and detect leaked secrets.
Anti-hallucination guidelines
Only report variables that are actually found in the code:
- Grep before reporting: never invent variable names, only list what grep actually returns.
- Read
.env.examplebefore writing: preserve existing entries, only add/update what changed. - No actual secrets:
.env.examplemust only contain placeholder values (e.g.,your_api_key_here). - Verify
.gitignore: actually read the file before claiming.envis ignored. - Never echo a found secret value: when Phase 6 flags a leaked secret, report the variable name and
file:lineonly. Never print, quote, or write the actual value into chat output, a report file, or anywhere else: the scan's job is to locate leaks, not to create a second one.
Workflow
Phase 1: Scan Codebase
Grep for environment variable usage matching the project's actual language/framework: see references/scan-patterns.md for the ready-to-run pattern per language (Node/TS, Python, Ruby, Rust, Java/Kotlin, Docker Compose, client-exposed prefixes). Only run the pattern(s) for stacks present in the repo.
Also scan:
.env.example(existing entries to preserve)config/directory for config files referencing env vars- Framework config files (
next.config.js,vite.config.ts, etc.)
Phase 2: Categorize Variables
Group discovered variables by prefix/service: see the service prefix table in
references/scan-patterns.md for the standard groupings (Database, Cache, Auth, OAuth,
Stripe, AWS, Email, App config, Client vars).
Classify each variable:
- Required vs optional: required if no default/fallback in code.
- Secret vs config: secret if it contains key/secret/password/token in the name.
- Client-exposed:
NEXT_PUBLIC_*,VITE_*; flag if it contains secrets.
Phase 3: Compare with .env.example
Read existing .env.example (if it exists):
What ships with it
4 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.
- 22d ago Changed · +5 lines 2c055e3fde41
- 1mo ago Changed · +2 lines 86c9a7afcc29
- 1mo ago Changed · +1 lines 7819d6814cf3
- 1mo ago First seen · 149 lines · 125 tokens per session scan A 4b4d56167bc5
env-setup is a skill published in the GitHub repository mgiovani/cc-arsenal (8 stars, last pushed 2d ago), licensed MIT. It adds 125 tokens to every session and 1,954 once invoked, about $0.0005 per session on Opus 5.5. 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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