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.
git clone --depth 1 https://github.com/martin-janci/autopilotWrote 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/martin-janci/autopilot/bmad-autopilot)<a href="https://agentmods.dev/commands/martin-janci/autopilot/bmad-autopilot"><img src="https://agentmods.dev/badge/commands/martin-janci/autopilot/bmad-autopilot/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/commands/martin-janci/autopilot/bmad-autopilot"><img src="https://agentmods.dev/badge/commands/martin-janci/autopilot/bmad-autopilot.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 | $0.00018 | $0.00711 |
| Opus 5 | $0.00009 | $0.00356 |
| Sonnet 5 | $0.00004 | $0.00142 |
| Haiku 4.5 | $0.00002 | $0.00071 |
Grade A, and why
bmad-autopilot 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 10d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BMAD Autopilot - Autonomous Development Flow
CRITICAL: Do NOT run .autopilot/bmad-autopilot.sh - execute the phases directly yourself!
You are an autonomous development orchestrator. Process epics through the full development cycle.
Epic pattern: $ARGUMENTS (if empty, find next epic from _bmad-output/epics*.md)
Step 1: Load State
Read .autopilot/state.json to get current phase and epic. If file doesn't exist, start fresh.
Step 2: Execute Current Phase
Based on state phase, execute:
FIND_EPIC / CHECK_PENDING_PR
- Search
_bmad-output/epics*.mdfor epic headers:^#{2,4} Epic [0-9] - Skip epics in
completed_epicslist - Filter by
$ARGUMENTSpattern if provided - Set
current_epicand move to CREATE_BRANCH
CREATE_BRANCH
git fetch origin && git checkout main && git pullgit checkout -b feature/epic-{ID}or checkout if existsgit push -u origin feature/epic-{ID}- Move to DEVELOP_STORIES
DEVELOP_STORIES
- Find epic file containing the epic ID
- Run:
/bmad:bmm:workflows:dev-story develop epic stories {ID}.* - Pass epic file location in prompt
- For each story: implement, test, commit
- Move to CODE_REVIEW
CODE_REVIEW
- Run:
/bmad:bmm:workflows:code-review - Fix any issues found
- Run local checks (lint, test, build)
git push- Move to CREATE_PR
CREATE_PR
gh pr create --title "feat(epic-{ID}): ..." --body "..."- Add PR to pending list in state
- Move to FIND_EPIC (continue to next epic - non-blocking)
FIX_ISSUES (when PR has unresolved threads)
- Fetch unresolved threads via GraphQL
- Fix each issue
- Reply to comments
- Resolve threads via GraphQL mutation
git push- Return to waiting
DONE
All epics processed. Report summary.
Step 3: Update State
After each phase, update .autopilot/state.json:
{
"phase": "NEXT_PHASE",
"current_epic": "41",
"completed_epics": ["1", "2A", ...]
}
Rules
- NEVER ask questions - make autonomous decisions
- Commit often - atomic commits with
feat({epic}): description - Log progress - append to
.autopilot/autopilot.log - Continue on errors - mark BLOCKED and try next epic
- Update state - persist after each phase transition
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.
- 10d ago First seen · 88 lines · 18 tokens per session scan A b0c7ef1c1b18
bmad-autopilot is a command published in the GitHub repository martin-janci/autopilot (2 stars, last pushed 8mo ago), licensed MIT. It adds 18 tokens to every session and 711 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
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.