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/nicelight/devrails-26/autopilotgit clone --depth 1 https://github.com/nicelight/DevRails-26Wrote 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/nicelight/devrails-26/autopilot)<a href="https://agentmods.dev/commands/nicelight/devrails-26/autopilot"><img src="https://agentmods.dev/badge/commands/nicelight/devrails-26/autopilot.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 | $0.00019 | $0.04521 |
| Opus 5 | $0.00010 | $0.02261 |
| Sonnet 5 | $0.00004 | $0.00904 |
| Haiku 4.5 | $0.00002 | $0.00452 |
Grade A, and why
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 3d 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 — 360 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/autopilot - Run an existing product JSON task queue
In this command, task and queue mean only indexed records whose feature
is not FT-000. FT-000 records are read-only Foundation history.
<input_contract> Require:
- non-empty
.memory-bank/tasks/index.jsonand resolving schema-valid.memory-bank/tasks/*.task.jsonrecords; .memory-bank/schemas/task.schema.json;- installed
.memory-bank/workflows/{tier-policy,execute-loop,autonomy-policy,mb-sync}.mdexist; - load tier policy
#tier-obligationsand#closure-authority, plus#hard-write-boundaryonly for a task/parallel boundary and#tier-classification-and-escalationonly for a tier gap; - load autonomy policy
#phase-ownership,#experimental-parallel-executionwhen opted in,#durable-run-checkpoint,#required-gates,#failure-budgets,#scheduler-failure-handling,#terminal-fallback,#run-state, and#terminal-states; - valid Global Backbone Status and Foundation anchors/dependencies; when
Foundation is required, its named final gate is
doneand no FT-000 record remainsplanned|ready|in_progress|blocked; - positive integer Global Backbone
Planning Revision; - at least one indexed product task whose
featureis notFT-000; - classify each task-linked feature as eligible only when its body lacks
PLANNING_RECONCILIATION_REQUIREDand its latest/review-tasks-planAPPROVEhas exactREVIEWED_PLANNING_REVISION: <N>equal to the current Planning Revision; - no unresolved blocking operator decision;
- invoke
node .memory-bank/scripts/mb-doctor.mjs --strictbefore the run, including resume, and before every later task selection required below. A new run requiresPASS. A resumed run also requiresPASSunless its only failing findings are the durable consequences of the exact unfinished scheduler checkpoint being recovered; in that case permit only that recovery action, then requirePASSagain before promotion, selection, or terminal success. Any unrelated finding uses the existing quality halt.
Every product task must preserve JSON schema, matching ID/tier/feature/wave segments,
legal lifecycle, valid dependencies, feature existence, product W1+/reserved
FT-000 W0 rules, and authoritative task.tier. Every T2/T3 task must have the
complete single-card handoff: purpose/outcome, direct applicable canonical SDD
links, expected advisory change surface and/or deliberate hard write boundary,
verification path, concrete REQ links, and valid dependencies.
Tasks whose title starts with Production acceptance: are production-only
acceptance work. During development, exclude them from promotion, selection,
unfinished/deadlock checks, and success gates. Leave them planned for explicit
/exe <TASK_ID> after production deployment.
For mixed work, write done_for_prod after development gates pass when only production acceptance remains; historical verify entries do not create queue work.
If no product record exists, return
HALT_QUALITY_GATES: no schema-backed product task records found in .memory-bank/tasks/index.json
and route the next explicit product feature to a fresh
/feature-to-tasks FT-<NNN> session. If the Foundation gate is unfinished or
any FT-000 work remains unresolved, return HALT_QUALITY_GATES with
/autonomous as the Foundation execution/resume owner.
Missing/invalid tier is HALT_POLICY_VIOLATION; clarification/design/Foundation/
handoff/readiness gaps use the applicable clarification or quality halt and
repair route.
A missing/invalid Global Planning Revision halts all product work and routes
/spec-design; it does not prove feature impact. With a valid revision, a
missing/mismatched approval or reconciliation marker makes only that
task-linked feature ineligible. Keep task statuses unchanged and reconcile
ineligible features one at a time through the Fresh Feature Tasking Boundary.
</input_contract>
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.
- 3d ago First seen · 360 lines · 19 tokens per session scan A 3e7288d97689
autopilot is a command published in the GitHub repository nicelight/DevRails-26 (22 stars, last pushed 5d ago), licensed MIT. It adds 19 tokens to every session and 4,521 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
git
Git operations with intelligent commit messages and workflow optimization.
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.