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/agentkitai/agentlens/bmad-helpgit clone --depth 1 https://github.com/agentkitai/agentlensWhat 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 | $0.00019 | $0.00061 |
| Opus 5 | $0.00010 | $0.00030 |
| Sonnet 5 | $0.00004 | $0.00012 |
| Haiku 4.5 | $0.00002 | $0.00006 |
Grade A, and why
help 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.
What it actually says
help
Read the entire task file at: {project-root}/_bmad/core/tasks/help.md
Follow all instructions in the task file exactly as written.
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 · 11 lines · 19 tokens per session scan A db6fcbd2a48b
help is a command published in the GitHub repository agentkitai/agentlens (22 stars, last pushed 2d ago), licensed MIT. It adds 19 tokens to every session and 61 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
seed
Load fixture teams + products into the local D1 database.
smoke
Deploy a versioned preview, hit smoke endpoints, print a status table.
migrate
Apply pending D1 migrations to local (default) or remote.
deploy-preview
Build + deploy a versioned preview; print the preview URL.
flow-nexus-neural
Train and deploy neural networks in distributed sandboxes.
capture-feedback
Quick feedback capture with structured signals.