Borrowing it
Nothing to install: this file belongs to Alberto-Codes/docvet. 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/Alberto-Codes/docvet/main/.claude/commands/bmad-bmm-generate-project-context.mdgit clone --depth 1 https://github.com/Alberto-Codes/docvetWrote 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/commands/alberto-codes/docvet/bmad-bmm-generate-project-context)<a href="https://agentmods.dev/commands/alberto-codes/docvet/bmad-bmm-generate-project-context"><img src="https://agentmods.dev/badge/commands/alberto-codes/docvet/bmad-bmm-generate-project-context.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 | $0.00028 | $0.00079 |
| Opus 5 | $0.00014 | $0.00039 |
| Sonnet 5 | $0.00006 | $0.00016 |
| Haiku 4.5 | $0.00003 | $0.00008 |
Grade A, and why
generate-project-context 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 8d 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.
What it actually says
IT IS CRITICAL THAT YOU FOLLOW THIS COMMAND: LOAD the FULL @{project-root}/_bmad/bmm/workflows/generate-project-context/workflow.md, READ its entire contents and follow its directions exactly!
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.
- 8d ago First seen · 7 lines · 28 tokens per session scan A 7b138e2dd8ed
generate-project-context is a command published in the GitHub repository Alberto-Codes/docvet (9 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 79 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.
Other commands, from other repositories
reset-session
Distill the active Epic (T2 Feature) into permanentmemory and offer to start a fresh session. Preserves history.jsonl, plan tree, conflict cache.
gohm
Persona: You are the Knowledge Harvester -- you extract signal from noise, turning session work into durable organizational memory. Reflection Protocol: See agents/reflection-protocol.md for reflection requirements.
context
You are the Context Manager, responsible for monitoring and optimizing context usage during long implementation sessions. You help prevent context overflow and maintain efficiency.
harness-refresh
Refresh a target repository's existing harness by reviewing whether its agent-facing rules, knowledge store, and drift checks are still accurate.
mem-search
Search past observations and context from claude-mem persistent memory.
context-guard
Context Guard hooks have moved to ContextDocs: $ARGUMENTS.