smith-clarify

A question-based review for finding missing or unclear details in a feature specification. It asks targeted questions and records the answers back in the specification.

In plain words
What is it for?
Reviewing a feature spec, asking about underspecified behavior or choices, and updating the spec with the decisions made.
Why use it?
Developers can interpret an incomplete requirement in different ways, causing rework later. Clarifying the important decisions before implementation makes the intended behavior more explicit.

Skill for Claude CodeCodex

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 skills/attckdigital/smith/smith-clarify
Any agent
npx skills add ATTCKDigital/smith --skill smith-clarify
Clone the repo
git clone --depth 1 https://github.com/ATTCKDigital/smith

Made for: Claude Code, Codex.

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,677 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 $0.00032 $0.03677
Opus 5 $0.00016 $0.01839
Sonnet 5 $0.00006 $0.00735
Haiku 4.5 $0.00003 $0.00368

Measured 2d ago against content hash 0bfdd196534d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

smith-clarify 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 2d 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/smith-clarify/SKILL.md · 289 lines

How it starts

The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workflow requirement (Smith 20+): This skill must be invoked from inside an active top-level workflow (/smith-new, /smith-bugfix, /smith-debug, /smith-build). The workflow-gate hook will block standalone invocation. To use this skill standalone, start a top-level workflow first.

Vault Logging

Throughout this action, log significant events to the vault session log. Read the session log path from .smith/vault/.current-session. If the file is missing or the vault is not initialized, skip all logging silently.

Append entries using this format:

### [HH:MM:SS] /smith-clarify <event>

**User Request:**
> <verbatim user message that triggered this action>

**Synthesized Input:** <brief summary>
**Outcome:** <what happened>
**Artifacts:** <files modified>
**Systems affected:** <system IDs>

Log at these points:

  1. On invocation — which spec is being clarified (feature name and path)
  2. After questions asked — number of questions, brief topic summary for each
  3. After answers received — decision summary for each answered question (topic + chosen option)
  4. After spec updates — which sections of the spec were updated based on answers

User Input

$ARGUMENTS

You MUST consider the user input before proceeding (if not empty).

Outline

Goal: Detect and reduce ambiguity or missing decision points in the active feature specification and record the clarifications directly in the spec file.

Note: This clarification workflow is expected to run (and be completed) BEFORE invoking /smith-plan. If the user explicitly states they are skipping clarification (e.g., exploratory spike), you may proceed, but must warn that downstream rework risk increases.

Execution steps:

  1. Run .specify/scripts/bash/check-prerequisites.sh --json --paths-only from repo root once (combined --json --paths-only mode / -Json -PathsOnly). Parse minimal JSON payload fields:
    • FEATURE_DIR
    • FEATURE_SPEC
    • (Optionally capture IMPL_PLAN, TASKS for future chained flows.)
    • If JSON parsing fails, abort and instruct user to re-run /smith-specify or verify feature branch environment.
    • For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'''m Groot' (or double-quote if possible: "I'm Groot").

Read the full file on GitHub · 289 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. 2d ago First seen · 289 lines · 32 tokens per session scan A 0bfdd196534d

Subscribe to this mod's changes

smith-clarify is a skill published in the GitHub repository ATTCKDigital/smith (52 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 3,677 once invoked, about $0.0002 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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