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/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/review-tasks-plan)<a href="https://agentmods.dev/commands/nicelight/devrails-26/review-tasks-plan"><img src="https://agentmods.dev/badge/commands/nicelight/devrails-26/review-tasks-plan.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 | $0.00018 | $0.02893 |
| Opus 5 | $0.00009 | $0.01447 |
| Sonnet 5 | $0.00004 | $0.00579 |
| Haiku 4.5 | $0.00002 | $0.00289 |
Grade A, and why
review-tasks-plan 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.
How it starts
The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/review-tasks-plan - Task planning review
<input_contract> Targets:
FT-<NNN>: review that product feature;- no argument: infer the latest decomposed product feature.
Latest-feature inference order:
- most recently modified
.memory-bank/tasks/plans/IMPL-FT-<NNN>.md; - most recently modified indexed product task record;
- highest numeric task ID as a final tie-breaker.
If the target cannot be resolved, stop and ask for FT-<NNN>.
FT-000 is not a review target, although its final gate and dependency effect
must be reviewed when they constrain product tasks.
A full review reads current:
- Constitution, requirements/RTM, spec backbone/index, task schema, tier policy, task index, and Foundation decision when present;
- the acceptance-closure and task-boundary definitions in
.memory-bank/workflows/execute-loop.md#principle-no-task-explosionand#execution-cohesive-task-boundary, plus.memory-bank/workflows/tier-policy.md#task-claim-and-dependency-ownership; - target feature, implementation plan, all indexed target task records, and their dependency records;
- direct canonical-spec routes and relevant doctor findings. Read full architecture sources in the main context only when another review concern or the architecture review requires it.
Require Global Backbone Planning Revision to be a positive integer. A missing,
zero, or invalid revision is a blocking design-readiness gap owned by
/spec-design.
An existing report may bound a rerun only when its Planning Revision matches and the exact repair delta is established from the caller handoff, an isolated diff, or direct comparison of cited evidence. Otherwise perform a full review. On a bounded rerun, recheck the delta and every coverage area it can affect; unchanged cited evidence may cover the rest of the feature.
PLANNING_RECONCILIATION_REQUIRED in the target feature blocks review and
routes /feature-to-tasks FT-<NNN>.
</input_contract>
<hard_invariants>
- Use a fresh-context reviewer or separate fresh session.
- Before each feature verdict, load and apply this installed skill's
references/finding-adjudication.mdsemantic pack. - Do not create, edit, close, promote, block, or reconcile reviewed artifacts.
- Task schema, IDs, lifecycle, tier, Foundation, single-card, scope, and status ownership remain governed by their canonical sources.
touched_filesis advisory; a non-emptywrite_boundaryis hard.- Behavior specs are optional examples, never readiness gates.
- Deterministic doctor findings are evidence, but this semantic review neither
reruns nor impersonates
/mb-doctor. - A bounded execution-cohesion probe is review evidence only. Do not require or create a simulation artifact, field, report, status, or replacement queue.
- Rubrics below are coverage criteria, not a mandatory reasoning order or an exhaustive limit on reviewer probes.
- A previous report is non-authoritative cache. Retain evidence only when its cited coverage and inputs are unchanged; the new verdict covers the current whole feature.
- Establish two co-review focuses on a full review. On a bounded rerun, retain each focus only when its target, scope, and governing evidence are unchanged; refresh every other focus through the semantic pack.
- Run
/architecture-reviewonly when current accepted evidence leaves a material ownership, dependency, or boundary question that could change the verdict. If delegation fails, perform the same architecture review locally. </hard_invariants>
<operator_decisions>
The reviewer never chooses between competing product, design, canonical-path,
task-boundary, tier, dependency, or verification interpretations. Route every
unresolved feature-related semantic finding to /feature-doctor FT-<NNN>, even
when one inspected specification appears to make the defect unambiguous; the
doctor validates that finding's governing basis and repair owner.
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 · 247 lines · 18 tokens per session scan A afd792957b6f
review-tasks-plan is a command published in the GitHub repository nicelight/DevRails-26 (22 stars, last pushed 3d ago), licensed MIT. It adds 18 tokens to every session and 2,893 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
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.
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.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.