review-tasks-plan

review-tasks-plan is a command for Claude Code from nicelight/DevRails-26. It costs 18 tokens per session (2,893 once invoked), scanned A, original, MIT.

A command for reviewing the planning records of one product feature before implementation begins. A product feature is a defined piece of user-facing functionality.

In plain words
What is it for?
Use it with a specific feature ID, or let it identify the latest feature from the project’s planning files. It reviews the relevant product, requirements, specifications, dependencies, and task records.
Why use it?
It helps find missing links, inconsistent requirements, unclear task boundaries, or incomplete planning before work is scheduled.

Command for Claude Code

Written for Claude Code: a Claude Code command (commands/*.md).

Good fit Use it with a specific feature ID, or let it identify the latest feature from the project’s planning files. It reviews the relevant product, requirements, specifications, dependencies, and task records.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/nicelight/devrails-26/review-tasks-plan
Install

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.

Clone the repo
git clone --depth 1 https://github.com/nicelight/DevRails-26

Made for: Claude Code.

Wrote 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.

agentmods badge for review-tasks-plan

README.md
[![agentmods](https://agentmods.dev/badge/commands/nicelight/devrails-26/review-tasks-plan.svg)](https://agentmods.dev/commands/nicelight/devrails-26/review-tasks-plan)
Your own site
<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>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,893 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 8d ago against content hash afd792957b6f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

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.

skills/_shared/references/commands/review-tasks-plan.md · 247 lines

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:

  1. most recently modified .memory-bank/tasks/plans/IMPL-FT-<NNN>.md;
  2. most recently modified indexed product task record;
  3. 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-explosion and #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.md semantic 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_files is advisory; a non-empty write_boundary is 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-review only 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.

Read the full file on GitHub · 247 lines

Changes

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.

  1. 8d ago First seen · 247 lines · 18 tokens per session scan A afd792957b6f

Subscribe to this mod's changes

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.