revise-phase-plan

revise-phase-plan is a skill for Claude Code, Codex from doordash-oss/agentic-orchestrator. It costs 11 tokens per session (832 once invoked), scanned A, original, Apache-2.0.

A guide for revising a phase-by-phase software implementation plan after critic feedback. A phase plan describes the work, checks, and deliverables for one stage of a larger roadmap.

In plain words
What is it for?
Use it to update one implementation phase, resolve feedback about source-code behavior, and produce a revised phase-plan markdown file.
Why use it?
It helps apply targeted corrections without restarting the plan or dropping work that the approved roadmap requires. It also allows additional code reading when feedback identifies a specific technical issue.

Skill for Claude CodeCodex

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

Good fit Use it to update one implementation phase, resolve feedback about source-code behavior, and produce a revised phase-plan markdown file.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/doordash-oss/agentic-orchestrator/revise-phase-plan
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 doordash-oss/agentic-orchestrator --skill revise-phase-plan
Clone the repo
git clone --depth 1 https://github.com/doordash-oss/agentic-orchestrator

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 revise-phase-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/doordash-oss/agentic-orchestrator/revise-phase-plan/github.svg)](https://agentmods.dev/skills/doordash-oss/agentic-orchestrator/revise-phase-plan)
Your own site
<a href="https://agentmods.dev/skills/doordash-oss/agentic-orchestrator/revise-phase-plan"><img src="https://agentmods.dev/badge/skills/doordash-oss/agentic-orchestrator/revise-phase-plan/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 revise-phase-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/doordash-oss/agentic-orchestrator/revise-phase-plan"><img src="https://agentmods.dev/badge/skills/doordash-oss/agentic-orchestrator/revise-phase-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 11 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 832 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00011 $0.00832
Opus 5 $0.00005 $0.00416
Sonnet 5 $0.00002 $0.00166
Haiku 4.5 $0.00001 $0.00083

Measured 12d ago against content hash 56c48d944f4c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

revise-phase-plan 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.

skills/revise-phase-plan/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Phase Plan Revision

Your job is NEVER to write code. Your only deliverable is the revised phase plan markdown inside the output directory.

Output Files

Artifact Path Requirement Purpose
phase plan markdown {artifact_dir}/phase-plan.md required phase plan markdown matching the plan-phase format contract

Critical Rules

  1. Do NOT re-research the codebase. The previous plan already incorporates codebase exploration. Only read additional source files if the critic feedback specifically requires it.
  2. Do NOT start from scratch. Read the previous plan (provided inline below) and make targeted edits.
  3. Do NOT rewrite the plan if the critic has no substantive changes. If the feedback is purely positive, simply copy the previous plan file to the output directory unchanged.
  4. Respect approved roadmap scope — if the critic pushes you to shrink the plan below the Phase N contract approved in the roadmap, do NOT silently drop roadmap-assigned deliverables. Phase sizing is a roadmap concern; if the approved phase truly cannot land in one iteration, escalate via AGENT_LOOP_NEED_INPUT: phase too large — revise roadmap so the roadmap itself gets re-sliced rather than diverging from it here.
  5. Sticky axis approvals — if the revise prompt includes a ## Prior Axis Approvals block, treat the listed frozen_sections for each approved axis as no-touch boundaries. Do NOT rewrite or restructure them unless the currently-failing axis's feedback explicitly cites that section. Treat frozen sections as narrow — they list only the headings the approving axis specifically inspected, not every heading in the plan. If the currently-failing axis's feedback points at a section that another axis also froze, the currently-failing feedback wins: edit the section to address the active feedback. "No-touch" applies to gratuitous edits, not to edits demanded by an active rejection.

Revision Process

Read the full file on GitHub · 53 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 · 53 lines · 11 tokens per session scan A 56c48d944f4c

Subscribe to this mod's changes

revise-phase-plan is a skill published in the GitHub repository doordash-oss/agentic-orchestrator (104 stars, last pushed yesterday), licensed Apache-2.0. It adds 11 tokens to every session and 832 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens