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doc-ears-autopilot

doc-ears-autopilot is a skill for Claude Code from vladm3105/aidoc-flow-framework. It costs 56 tokens per session (2,224 once invoked), scanned A, original, MIT.

An automated workflow for creating EARS documents, which express software requirements as structured WHEN-THE-SHALL-WITHIN statements. It can start from a product requirements document, a prompt, or an IPLAN.

In plain words
What is it for?
Use it to create one or more EARS documents, validate them, maintain their index, and apply fixes from quality checks.
Why use it?
It turns an earlier requirement or plan into a checked requirements document and can run an audit-and-fix cycle before implementation.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: mentions subagents; mentions Claude Code.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the aidoc-flow plugin — 52 skills, 12 commands, 11 agents, 1 hook shipped together

not rated 17repo changed 4d ago A scan 56 tokens original MIT

Good fit Use it to create one or more EARS documents, validate them, maintain their index, and apply fixes from quality checks.

Compare 6 skills from other repositories ↓
View source ↗ vladm3105/aidoc-flow-framework
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add vladm3105/aidoc-flow-framework
Claude Code
/plugin install aidoc-flow

Made for: Claude Code.

Or install aidoc-flow, the plugin that ships this one along with the rest of its 52 skills, 12 commands, 11 agents, 1 hook.

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 doc-ears-autopilot

README.md
[![agentmods](https://agentmods.dev/badge/skills/vladm3105/aidoc-flow-framework/doc-ears-autopilot/github.svg)](https://agentmods.dev/skills/vladm3105/aidoc-flow-framework/doc-ears-autopilot)
Your own site
<a href="https://agentmods.dev/skills/vladm3105/aidoc-flow-framework/doc-ears-autopilot"><img src="https://agentmods.dev/badge/skills/vladm3105/aidoc-flow-framework/doc-ears-autopilot/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for doc-ears-autopilot

Your own site · 80×15
<a href="https://agentmods.dev/skills/vladm3105/aidoc-flow-framework/doc-ears-autopilot"><img src="https://agentmods.dev/badge/skills/vladm3105/aidoc-flow-framework/doc-ears-autopilot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,224 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 $0.00056 $0.02224
Opus 5 $0.00028 $0.01112
Sonnet 5 $0.00011 $0.00445
Haiku 4.5 $0.00006 $0.00222

Measured 4d ago against content hash cb529d09e86e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

doc-ears-autopilot 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 4d 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.

archive/platforms/claude-code-plugin/skills/doc-ears-autopilot/SKILL.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

doc-ears-autopilot

Purpose

Automated EARS generation pipeline. From an upstream PRD, a user prompt, or an implementation plan (IPLAN-*), it analyzes the source, verifies upstream readiness, generates a complete EARS document of atomic WHEN-THE-SHALL-WITHIN statements, validates readiness, maintains EARS-00_index.md, and drives the audit↔fix cycle to a passing score — for one EARS or a batch.

Layer: 3. Upstream: a PRD (and its BRD), a prompt, or an IPLAN. Downstream: a validated EARS + index entry.

Skill Dependencies

Skill Role
../doc-ears/SKILL.md EARS structure, the four patterns, syntax rules
../doc-ears-audit/SKILL.md quality gate (scoring + findings)
../doc-ears-fixer/SKILL.md applies fixes from the audit report
../doc-naming/SKILL.md element-ID standards and @threshold: tags

Input Contract

Accepts: a target EARS id/path; an upstream PRD id/path; a free-text prompt; or an IPLAN path. Optional: score threshold (default 90), max fix iterations (default 3), batch list. With no explicit input, treat the request as a prompt.

Smart Document Detection

For each target, check whether the EARS already exists (nested folder docs/03_EARS/EARS-NN_{slug}/):

  • Missing → generate mode (from the upstream PRD / prompt / IPLAN).
  • Exists → review & fix mode (audit, then fix if below threshold).

Determine deliverable_type (code/document/ux/risk/process, inherited from the upstream PRD) from the source content.

Model precheck

Advisory, best-effort. Surfaces the model you recommended for this layer; it cannot switch the session model. Before invoking the driver:

  1. If .claude/aidoc-flow.config.yaml is absent, or has no model.* keys, skip this section entirely (no output).
  2. Resolve the recommended model: model.per_layer.EARS if set, else model.default.
  3. Act on model.precheck (warn | silent | block):
    • warn (default) — print one line, then continue to the driver: ℹ EARS recommends model '<rec>'. If you're not on it, run /model <rec> (or set model.precheck: silent to hide this).
    • silent — print nothing; continue.
    • block — print the line above plus precheck=block: confirm you want to draft on the current model, or run /model <rec> first., then wait for the user to confirm before continuing.

Read the full file on GitHub · 185 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. 4d ago Changed cb529d09e86e
  2. 5d ago Changed bcfe93b38f14
  3. 9d ago First seen · 185 lines · 56 tokens per session scan A 70bdc7b9bc0b

Subscribe to this mod's changes

doc-ears-autopilot is a skill published in the GitHub repository vladm3105/aidoc-flow-framework (17 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 2,224 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.

PlanningWriting and docs
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