Agent skill

API Compat Review

by jpicklyk in jpicklyk/task-orchestrator

Compatibility assessment for items with the needs-api-compat-review trait.

MITAuto-check passedAgent Workflows

Install API Compat Review

skills CLI
$ npx skills add jpicklyk/task-orchestrator --skill api-compat-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jpicklyk/task-orchestrator api-compat-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jpicklyk/task-orchestrator.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/api-compat-review .claude/skills/api-compat-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
api-compat-review
GitHub stars
207
Token cost
~636 tokens
SKILL.md length
294 words
Files
1
Skills in repo
28
Repo updated
First seen
Licence
MIT

At a glance

Compatibility assessment for items with the needs-api-compat-review trait.

  • Works in 3 steps: Classify the Change → MCP Surface Assessment → REST Surface Assessment
  • Tasks that involve MCP servers
  • SKILL.md covers Step 1: Classify the Change, Step 2: MCP Surface Assessment, Step 3: REST Surface Assessment and Output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

API Compat Review is an agent skill from jpicklyk/task-orchestrator. Compatibility assessment for items with the needs-api-compat-review trait. Evaluates the MCP tool surface and the REST surface separately, since their compatibility models differ. Invoked via skillPointer when filling api-compatibility notes.

Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what… The licence is MIT.

When your agent uses it

  • Tasks that involve MCP servers

Example prompts

  • “/api-compat-review”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Classify the Change
  2. MCP Surface Assessment
  3. REST Surface Assessment

What it can do on your machine

Read from SKILL.md and the folder at commit 3e83170. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

API Compat Review loads about 636 tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 294 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~636

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jpicklyk/task-orchestrator at commit 3e83170, republished under its MIT licence (© jpicklyk). 294 words, ~636 tokens.

Download SKILL.mdSave it as .claude/skills/api-compat-review/SKILL.md (or your agent's skills folder).
name
api-compat-review
description
Compatibility assessment for items with the needs-api-compat-review trait. Evaluates the MCP tool surface and the REST surface separately, since their compatibility models differ. Invoked via skillPointer when filling api-compatibility notes.
user-invocable
false

API Compatibility Review Framework

Assess API changes by surface — the MCP tool surface (dynamically re-discovered by clients) and the REST surface (hardcoded clients) have different compatibility models. Do not apply REST-style breaking-change caution to MCP tools, and do not apply MCP's rename-friendliness to REST.

Step 1: Classify the Change

Determine which surface(s) the change touches:

  • MCP tools — application/tools/ tool definitions, parameterSchema, tool description strings
  • REST API — interfaces/api/v1/routes/, interfaces/api/v1/dto/Dtos.kt, openapi.yaml

A single change (e.g., a domain model field rename) can touch both surfaces independently — assess each.

Step 2: MCP Surface Assessment

LLM clients re-read the tools/list schema every session — there is no persistent client binding to break. A pure parameter rename does NOT require keeping the old name working. Verify instead:

  • Every changed param's parameterSchema key and its arg-parsing read site stay in sync — no schema-says-X/code-reads-Y drift
  • ALL first-party callers update in lockstep: plugin skills, hooks (including the orchestration-context hook's injected text), auto-memory references, and api-reference.md. This doc coordination is the real cost of an MCP change, not client breakage.
  • The tool description string accurately reflects the new behavior

Step 3: REST Surface Assessment

HTTP clients hardcode field and param names, so compatibility DOES matter here:

  • Response-shape changes are additive (new fields only) where possible
  • Renames or removals of existing fields/params have an explicit migration path or version bump — not a silent break
  • Note when a surface has effectively zero consumers (e.g., a days-old endpoint) so the reviewer can right-size caution instead of over-indexing on hypothetical clients
  • openapi.yaml is updated for any REST-facing change
  • api-rest.md is updated for any REST-facing change

Output

Compose the api-compatibility note with findings from Step 2 and/or Step 3, scoped to whichever surface(s) the change actually touches. If a surface wasn't touched, say so explicitly rather than omitting it silently.

© jpicklyk, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/api-compat-review of jpicklyk/task-orchestrator.

Open the folder on GitHubat commit 3e83170

Compare with similar skills

API Compat Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

API Compat Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
API Compat Review this skilljpicklyk/task-orchestrator207—~636Automated safety check: PassMIT
MCP Server Builderanthropics/skills180k64 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Fastmcp Client CLIPrefectHQ/fastmcp28k1 repos~823Automated safety check: PassApache-2.0
Crush Configurationcharmbracelet/crush29k—~3.7kAutomated safety check: PassCustom licence

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Categories

Questions about API Compat Review

What does API Compat Review do?

Compatibility assessment for items with the needs-api-compat-review trait. API Compat Review is an agent skill from jpicklyk/task-orchestrator. Compatibility assessment for items with the needs-api-compat-review trait.

When should I use API Compat Review?

API Compat Review fits situations like: tasks that involve MCP servers.

How do I install API Compat Review in Claude Code?

Run `npx skills add jpicklyk/task-orchestrator --skill api-compat-review -a claude-code`. Or copy the skill folder (.claude/skills/api-compat-review in jpicklyk/task-orchestrator) into .claude/skills/api-compat-review in your project. Claude Code loads it when a task matches its description.

How do I install API Compat Review in Codex?

Run `npx skills add jpicklyk/task-orchestrator --skill api-compat-review -a codex`. Or copy the skill folder (.claude/skills/api-compat-review in jpicklyk/task-orchestrator) into .agents/skills/api-compat-review in your project. Codex loads it when a task matches its description.

Can I use API Compat Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jpicklyk/task-orchestrator --skill api-compat-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/api-compat-review, .gemini/skills/api-compat-review, .github/skills/api-compat-review and .opencode/skills/api-compat-review in your project.

What does API Compat Review need to run?

SKILL.md names no scripts, command-line tools or credentials: API Compat Review is instructions for the agent only.

Does API Compat Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is API Compat Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does API Compat Review use?

API Compat Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does API Compat Review use?

About 636 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to API Compat Review?

Skills that share tags, products or a category with API Compat Review: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Fastmcp Client CLI (PrefectHQ/fastmcp, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains API Compat Review?

jpicklyk (a GitHub user) maintains it in jpicklyk/task-orchestrator, which has 207 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 8, 2026.

Source: jpicklyk/task-orchestrator on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.