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 commands/benkapner/claude-code-basecamp/env-checkgit clone --depth 1 https://github.com/Benkapner/claude-code-basecampWhat 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 | $0.00026 | $0.00833 |
| Opus 5 | $0.00013 | $0.00417 |
| Sonnet 5 | $0.00005 | $0.00167 |
| Haiku 4.5 | $0.00003 | $0.00083 |
Grade A, and why
env-check 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 yesterday.
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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Environment Check
The first thing you do when you clone a project (or revisit one after a few weeks) is make sure your local setup actually works. It could be a wrong runtime version, missing environment variables, or unapplied migrations.
This command validates the entire local setup in one pass.
Instructions
0. Detect Project Type
Before running any checks, detect what kind of project this is:
# Check for project markers
ls pyproject.toml setup.cfg setup.py requirements.txt .python-version 2>/dev/null # Python
ls package.json 2>/dev/null # Node.js
ls go.mod 2>/dev/null # Go
ls Cargo.toml 2>/dev/null # Rust
ls pom.xml build.gradle 2>/dev/null # Java
If no project markers are found, ask the user: "couldn't detect the project type — what stack is this?"
Run only the checks relevant to the detected stack. The sections below use Python as the example, but adapt to the detected stack (e.g., node_modules for Node, go mod tidy for Go).
Check this project's development environment is properly configured:
1. Runtime Version
- Look for configuration files that specify the required runtime version for the detected stack
- For Python:
pyproject.toml,.python-version,setup.cfg,runtime.txt - For Node:
package.jsonengines field,.nvmrc,.node-version - For Go:
go.modgo directive - For Rust:
rust-toolchain.toml - Check the installed version matches the project's requirement
- Report: version required vs version found
2. Package Dependencies
- Check if
uvis installed and available - Check if
.venvexists and is up to date - If
pyproject.tomlexists, verify packages are synced (uv sync --checkor equivalent) - If
requirements.txtexists, check packages are installed - Report: any missing or outdated packages
3. Environment Variables
- Look for
.env.exampleor.env.templatefiles - Compare against the actual
.envfile (if it exists) - Report: which required env vars are missing or empty
- Do NOT print the actual values — just report presence/absence
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.
- yesterday First seen · 97 lines · 26 tokens per session scan A 27028481f69c
env-check is a command published in the GitHub repository Benkapner/claude-code-basecamp (16 stars, last pushed 12d ago), licensed MIT. It adds 26 tokens to every session and 833 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.
Other commands, from other repositories
spec-forge
Use when generating software specifications — full chain (Idea→Decompose→Tech Design + Feature Specs) or individual documents.
propagate
Use after editing an upstream doc (PRD/SRS/tech-design/feature-spec) to propagate changes downstream and keep the entire doc chain consistent.
review
Use when reviewing spec-forge generated documents for quality, completeness, and consistency — auto-fixes issues if found.
analyze
Use when analyzing a document collection to map themes, find conflicts, gaps, and redundancies — generates landscape analysis report.
audit
Use when auditing existing project docs for quality, completeness, and code alignment — generates findings report with fix recommendations.
test-cases
Use when writing test cases, generating tests, supplementing test coverage, or improving test completeness — auto-scans project, designs multi-dimensional test cases with coverage matrix.