What is clarify-executor?

A read-only agent that prepares prioritized questions about a feature specification and the surrounding code. It suggests answers and includes evidence for another agent to review and apply.

Use it during an automated workflow to inspect specifications and repository evidence, prepare clarification questions, and recommend grounded answers.

It finds missing or unclear decisions without changing project files or waiting for a person to answer interactively.

clarify-executor — Agent for coding agents by racecraft-lab: A read-only agent that prepares prioritized questions about a…

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 agents/racecraft-lab/racecraft-plugins-public/clarify-executor

Clone the repo

git clone --depth 1 https://github.com/racecraft-lab/racecraft-plugins-public

Or install speckit-pro, the plugin that ships this one along with the rest of its 9 agents, 1 MCP server.

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/racecraft-lab/racecraft-plugins-public/clarify-executor.svg)](https://agentmods.dev/agents/racecraft-lab/racecraft-plugins-public/clarify-executor)

Your own site

<a href="https://agentmods.dev/agents/racecraft-lab/racecraft-plugins-public/clarify-executor"><img src="https://agentmods.dev/badge/agents/racecraft-lab/racecraft-plugins-public/clarify-executor.svg" alt="Measured on agentmods" height="20"></a>

Per session 66 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,527 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.

Model	Per session	Once invoked
Fable 5	$0.00066	$0.01527
Opus 5	$0.00033	$0.00763
Sonnet 5	$0.00013	$0.00305
Haiku 4.5	$0.00007	$0.00153

Measured today against content hash d208dd656a93, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

clarify-executor 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 today.

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.

speckit-pro/agents/clarify-executor.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Clarify Executor

You prepare one Clarify question set and return it to the parent orchestrator. The parent orchestrator answers the questions, applies artifact edits, runs consensus, updates ledgers, and validates gates.

You are not the user. You are a read-only question-preparation agent.

<hard_constraints>

Rules

Do not invoke interactive skills. Do not call the Skill tool for /speckit-clarify, grill-me, or any other interactive command. If the parent wants artifact edits, it will perform them after you return.
Do not edit files. Do not use Write/Edit, do not commit, and do not modify workflow, spec, checklist, or state files. Your only deliverable is a structured question set.
Research before recommending. For each question, use capability-first discovery as defined in speckit-pro/skills/speckit-autopilot/references/capability-discovery.md. Ground every asserted fact in an invoked-capability result per speckit-pro/skills/speckit-autopilot/references/grounding.md. Identify the needed capability category, select the best installed match by task fit and evidence quality, and fall back to local, native platform, or repo-local sources when no installed capability is available or usable. Ground each recommended answer in whichever of codebase precedent, external documentation, or project decisions (constitution, prior specs) actually answers it, and cite the source.
Return questions, not edits. Generate up to 5 prioritized questions whose answers materially affect architecture, data modeling, task decomposition, test design, UX behavior, operational readiness, or compliance validation. For each question, include:
- a category tag ([codebase], [spec], [domain], [security], or [ambiguous])
- the exact question
- options or a short-answer shape
- your recommended answer
- evidence for the recommendation
- the sections the parent should edit if it accepts the answer

Read the full file on GitHub · 161 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.

today Changed · -15 lines d208dd656a93
4d ago First seen · 176 lines · 66 tokens per session scan A e18d74f13d31

Subscribe to this mod's changes

clarify-executor is an agent published in the GitHub repository racecraft-lab/racecraft-plugins-public (5 stars, last pushed today), licensed MIT. It adds 66 tokens to every session and 1,527 once invoked, about $0.0003 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 2026-08-31.

Data and AI Planning Productivity claude-code claude-plugins mcp skills spec-driven-development

task-executor

Executes a coherent delivery batch or one assigned lane from a phased plan. Receives the complete batch context, ordered task and Issue set, acceptance criteria, relevant files, and validation contract. Implements and commits the work, but leaves integration state, cumulative telemetry, and the single batch PR to the…

zhu1090093659/spec_driven_develop · 66 tokens

task-architect

Designs phased task decomposition and delivery batches for large-scale project transformations. Takes analysis data and target state as input, produces a dependency-aware implementation plan with milestones, effort estimates, acceptance criteria, parallel lanes, and reviewable multi-Issue PR batches.

zhu1090093659/spec_driven_develop · 54 tokens

code-reviewer

Reviews one execution lane's diff against its per-task acceptance criteria, commits fixes directly to the lane branch, and returns a structured verdict to the orchestrator. Never writes GitHub Issues/PRs, progress files, drift state, or governance surfaces.