feature-doctor

feature-doctor is a command for Claude Code from nicelight/DevRails-26. It costs 12 tokens per session (1,404 once invoked), scanned A, original, MIT.

A diagnostic command for investigating one feature, identified by an ID such as FT-123.

In plain words
What is it for?
Use it to examine feature blockers, rejected task plans, and related design or implementation evidence, then route the issue to the appropriate repair process.
Why use it?
It helps determine whether a feature's reported problems are real, current, and supported by project evidence without silently choosing a feature or changing its plan.

Command for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

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.

agentmods
npx agentmods add commands/nicelight/devrails-26/feature-doctor
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 feature-doctor

README.md
[![agentmods](https://agentmods.dev/badge/commands/nicelight/devrails-26/feature-doctor.svg)](https://agentmods.dev/commands/nicelight/devrails-26/feature-doctor)
Your own site
<a href="https://agentmods.dev/commands/nicelight/devrails-26/feature-doctor"><img src="https://agentmods.dev/badge/commands/nicelight/devrails-26/feature-doctor.svg" alt="Measured on agentmods" height="20"></a>
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,404 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00012 $0.01404
Opus 5 $0.00006 $0.00702
Sonnet 5 $0.00002 $0.00281
Haiku 4.5 $0.00001 $0.00140

Measured 6d ago against content hash 71ec051f5d96, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

feature-doctor 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 6d 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/feature-doctor.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/feature-doctor - Feature semantic triage

This command does not create tasks, implementation plans, tiers, behavior specs, or canonical SDD design specs.

<input_contract> Require $ARGUMENTS with one FT-<NNN>. Do not auto-select a feature. If the ID is absent, ask for it in interactive mode. In unattended flow, halt before any write with HALT_CLARIFICATION_REQUIRED and report:

  • reason: missing required FT-<NNN> argument for /feature-doctor;
  • affected command: /feature-doctor;
  • owner and next action: the operator supplies the exact feature ID;
  • exact resume command: /feature-doctor FT-<NNN>.

Use the caller's existing halt handoff; do not create a durable artifact solely for this missing argument.

Locate exactly one .memory-bank/features/FT-<NNN>-*.md; otherwise stop. Inspect the caller-cited findings or, when none are cited, the target's latest final task-plan REJECT, current blocking task verdicts, and explicit feature blockers. Ignore superseded findings. Read product, requirements, feature, relevant canonical design, affected task/plan, and implementation or verification evidence only as needed to validate the findings and repair impact. </input_contract>

<hard_invariants>

  • Optional clarification metadata uses only: clarification_status: pending|complete|blocked, last_clarified: null|YYYY-MM-DD, and a non-negative cumulative clarification_questions count.
  • Preserve feature design statuses complete|not_required|blocked; do not add a stale status.
  • Preserve stable FT-<NNN>-AC-<NNN> IDs when accepted behavior is unchanged. New or split criteria use the next unused feature-local ID; retired IDs are not reused.
  • Validate downstream specifications against governing product intent and accepted authority. Internally consistent downstream wording does not settle a finding when it conflicts with or leaves that intent materially open.
  • /feature-doctor may determine repair ownership but must not repair linked SDD specs, create tasks/plans, change tier, or perform implementation repair.
  • Preserve acceptance closure: a material edge/failure outcome retains a covering AC or an authoritative out-of-scope disposition with source and /write-prd change route; a material NFR retains its governing REQ, accepted target/qualitative criterion, decisive conditions, and verification method.
  • Do not create or change a REQ-level product target locally. Route that change through /write-prd. </hard_invariants>

<operator_decisions> For a material finding, identify only distinct contract-valid options. State each decision's evidence basis, material consequences, likely affected artifacts/features, repair/revalidation surface, and canonical owner.

Recommend only among options that preserve accepted product intent and workflow contracts; prefer the least total canonical, implementation, planning, and revalidation change after evidenced material risk. Do not invent alternatives when authority permits one result.

Interactive flow presents viable alternatives and waits only when an operator decision remains. Unattended flow records the recommended option, basis, consequences, work surface, exact question, owner, and resume route, then returns the caller's existing HALT_CLARIFICATION_REQUIRED or HALT_BLOCKING_QUESTIONS; it never accepts the recommendation. An existing authoritative decision may be applied without asking again. </operator_decisions>

<required_outputs> Create or update only .protocols/FT-<NNN>/clarification.md plus the target feature doc. Do not create a separate decision log or triage report.

Record each finding, its semantic basis, the option analysis above, remaining decision, Design impact: none|feature_design_stale|global_design_stale|blocked, Behavior spec impact: none|refresh_recommended, and immediate route. Name only evidenced likely consumers; /spec-redesign owns exact affected features and the none|bounded|global verdict.

Read the full file on GitHub · 133 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. 6d ago First seen · 133 lines · 12 tokens per session scan A 71ec051f5d96

Subscribe to this mod's changes

feature-doctor is a command published in the GitHub repository nicelight/DevRails-26 (22 stars, last pushed 2d ago), licensed MIT. It adds 12 tokens to every session and 1,404 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.

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