acceptance-fleet

acceptance-fleet is a skill for Claude Code from XRenSiu/claude-code-forge. It costs 335 tokens per session (10,666 once invoked), scanned C, original, MIT.

A review coordinator for checking whether a software implementation meets a written completion contract. It sends the work to six separate reviewers, combines their findings, and records each review round.

In plain words
What is it for?
Use it to review code against a defined specification, detect missing requirements or attempts to game the checks, and keep a history of each decision.
Why use it?
It avoids relying on one broad review and makes the reasons for passing, fixing, or investigating a result traceable.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions subagents; positional $N argument; mentions Claude Code.

Part of the ai-dlc plugin — 30 skills, 5 agents shipped together

Good fit Use it to review code against a defined specification, detect missing requirements or attempts to game the checks, and keep a history of each decision.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xrensiu/claude-code-forge/acceptance-fleet
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.

Any agent
npx skills add XRenSiu/claude-code-forge --skill acceptance-fleet
Clone the repo
git clone --depth 1 https://github.com/XRenSiu/claude-code-forge

Made for: Claude Code.

Or install ai-dlc, the plugin that ships this one along with the rest of its 30 skills, 5 agents.

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 acceptance-fleet

README.md
[![agentmods](https://agentmods.dev/badge/skills/xrensiu/claude-code-forge/acceptance-fleet/github.svg)](https://agentmods.dev/skills/xrensiu/claude-code-forge/acceptance-fleet)
Your own site
<a href="https://agentmods.dev/skills/xrensiu/claude-code-forge/acceptance-fleet"><img src="https://agentmods.dev/badge/skills/xrensiu/claude-code-forge/acceptance-fleet/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 acceptance-fleet

Your own site · 80×15
<a href="https://agentmods.dev/skills/xrensiu/claude-code-forge/acceptance-fleet"><img src="https://agentmods.dev/badge/skills/xrensiu/claude-code-forge/acceptance-fleet.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 335 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,666 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. 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 $0.00335 $0.10666
Opus 5.5 $0.00134 $0.04266
Sonnet 5.5 $0.00067 $0.02133
Haiku 4.5 $0.00034 $0.01067

Measured 1mo ago against content hash 2947b462ee4b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

acceptance-fleet scanned grade C with 1 finding 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 1mo ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/meets_done_when.py, scripts/next_iteration.py, scripts/pick_evaluators.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Tells the agent never to refusehighAnti-refusal

Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.

- **Missing `spec-robustness.md`** — do NOT refuse; proceed with a warning that S2.5 was skipped and `/spec-gaming-detector` runs in max-suspicion mode (its own iron rule 10 activates).
plugins/ai-dlc/skills/acceptance-fleet/SKILL.md · 504 lines

How it starts

The opening of the file, as written. The whole thing — 504 lines — stays where its author put it; the contents beside it link to each section on GitHub.

acceptance-fleet — Step 5-6 orchestrator (v1.0+ pure dispatch)

You are invoked to verify an implementation against a done_when.yaml contract by dispatching the 6 standalone review skills, synthesizing their findings via /meta-judge, and decoding the verdict into a four-state ratchet decision (DONE / FIX / SPEC_DRIFT / GAMING_RISK).

Say once at the start, then start working:

"I'm using the acceptance-fleet skill. I'll dispatch the 6 review skills in parallel against your impl, hand findings to /meta-judge, decode the verdict into the 4-state ratchet, and write a full ratchet-log/iteration-NNN/ trace."

Do not narrate further — just walk the phases.


What changed in v1.0.0 (read this once if migrating from v0.x)

v0.x (monolithic fleet) v1.0+ (orchestrator)
7 evaluator roles embedded internally (test-runner / existence-checker / requirement-tracer / design-reviewer / adversarial-reviewer / edge-case-hunter / e2e-explorer) 6 standalone skills dispatched: /code-reviewer × focuses, /qa-reviewer, /pm-reviewer, /spec-drift-detector, /spec-gaming-detector
Meta-judge was a fleet phase (S3) /meta-judge is its own skill, invoked by this orchestrator
references/role-prompts.md carried all 8 role prompts Each review skill owns its prompt + references; orchestrator just calls them
references/finding-schema.yaml had all schemas Each review skill owns its own finding-schema.yaml; meta-judge owns the final-verdict schema
gaming-detector-patterns.md, meta-judge-protocol.md lived in this skill Migrated to spec-gaming-detector and meta-judge respectively
done_when.yaml had a fitness: layer Retired per HTML v2 §3.5; replaced with rules: layer consumed by /meta-judge

If you have v0.x ratchet-log/ directories, they remain readable — the new orchestrator writes the same format under references/ratchet-log-format.md. The migration is at the skill definition level, not the artifact level.

Read the full file on GitHub · 504 lines

Files

What ships with it

40 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago Changed · +13 lines 2947b462ee4b
  2. 1mo ago Changed · +174 lines de129563010b
  3. 2mo ago First seen · 317 lines · 335 tokens per session scan C a542c960c0d2

Subscribe to this mod's changes

acceptance-fleet is a skill published in the GitHub repository XRenSiu/claude-code-forge (2 stars, last pushed 1mo ago), licensed MIT. It adds 335 tokens to every session and 10,666 once invoked, about $0.0013 per session on Opus 5.5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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