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acceptance-orchestrator

acceptance-orchestrator is a skill for Claude Code, Codex from marysatasselshaped667/skills-collection-1. It costs 37 tokens per session (697 once invoked), scanned A, a copy of acceptance-orchestrator, MIT.

A workflow coordinator for coding tasks, moving an issue from intake through implementation, review, deployment, and acceptance checks.

In plain words
What is it for?
Use it for end-to-end issue delivery when you have an issue, its status, acceptance criteria, and a target environment such as development.
Why use it?
It keeps work tied to explicit acceptance criteria, meaning the conditions that must be proven before a task is considered complete.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 1repo yesterday A scan 37 tokens copy · 88% MIT

Good fit Use it for end-to-end issue delivery when you have an issue, its status, acceptance criteria, and a target environment such as development.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/marysatasselshaped667/skills-collection-1/acceptance-orchestrator
View source ↗ marysatasselshaped667/skills-collection-1
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 marysatasselshaped667/skills-collection-1 --skill acceptance-orchestrator
Clone the repo
git clone --depth 1 https://github.com/marysatasselshaped667/skills-collection-1

Made for: Claude Code, Codex.

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-orchestrator

README.md
[![agentmods](https://agentmods.dev/badge/skills/marysatasselshaped667/skills-collection-1/acceptance-orchestrator/github.svg)](https://agentmods.dev/skills/marysatasselshaped667/skills-collection-1/acceptance-orchestrator)
Your own site
<a href="https://agentmods.dev/skills/marysatasselshaped667/skills-collection-1/acceptance-orchestrator"><img src="https://agentmods.dev/badge/skills/marysatasselshaped667/skills-collection-1/acceptance-orchestrator/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-orchestrator

Your own site · 80×15
<a href="https://agentmods.dev/skills/marysatasselshaped667/skills-collection-1/acceptance-orchestrator"><img src="https://agentmods.dev/badge/skills/marysatasselshaped667/skills-collection-1/acceptance-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 697 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 88% copy Near-identical to another mod 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 $0.00037 $0.00697
Opus 5 $0.00018 $0.00349
Sonnet 5 $0.00007 $0.00139
Haiku 4.5 $0.00004 $0.00070

Measured 12d ago against content hash ffb796e8860c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

acceptance-orchestrator 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 12d 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.

Origin

This is a copy

88% identical to acceptance-orchestrator — 16 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

SKILLS/acceptance-orchestrator/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Acceptance Orchestrator

Overview

Orchestrate coding work as a state machine that ends only when acceptance criteria are verified with evidence or the task is explicitly escalated.

Core rule: do not optimize for "code changed"; optimize for "DoD proven".

Required Sub-Skills

  • create-issue-gate
  • closed-loop-delivery
  • verification-before-completion

Optional supporting skills:

  • deploy-dev
  • pr-watch
  • pr-review-autopilot
  • git-ship

Inputs

Require these inputs:

  • issue id or issue body
  • issue status
  • acceptance criteria (DoD)
  • target environment (dev default)

Fixed defaults:

  • max iteration rounds = 2
  • PR review polling = 3m -> 6m -> 10m

State Machine

  • intake
  • issue-gated
  • executing
  • review-loop
  • deploy-verify
  • accepted
  • escalated

Workflow

  1. Intake

    • Read issue and extract task goal + DoD.

  2. Issue gate

    • Use create-issue-gate logic.
    • If issue is not ready or execution gate is not allowed, stop immediately.
    • Do not implement anything while issue remains draft.

  3. Execute

    • Hand off to closed-loop-delivery for implementation and local verification.

  4. Review loop

    • If PR feedback is relevant, batch polling windows as:
      • wait 3m
      • then 6m
      • then 10m
    • After the 10m round, stop waiting and process all visible comments together.

  5. Deploy and runtime verification

    • If DoD depends on runtime behavior, deploy only to dev by default.
    • Verify with real logs/API/Lambda behavior, not assumptions.

  6. Completion gate

    • Before any claim of completion, require verification-before-completion.
    • No success claim without fresh evidence.

Stop Conditions

Move to accepted only when every acceptance criterion has matching evidence.

Move to escalated when any of these happen:

  • DoD still fails after 2 full rounds
  • missing secrets/permissions/external dependency blocks progress
  • task needs production action or destructive operation approval
  • review instructions conflict and cannot both be satisfied

Read the full file on GitHub · 107 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. 12d ago First seen · 107 lines · 37 tokens per session scan A ffb796e8860c

Subscribe to this mod's changes

acceptance-orchestrator is a skill published in the GitHub repository marysatasselshaped667/skills-collection-1 (1 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 697 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to acceptance-orchestrator, differing in 16 lines, and is treated as a copy.

Project managementTestingagentsaiai-codingai-workflowsantigravityantigravity-skills
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