prysai/prysai-llm-playbook/prysai-platform-adapter-review

Claude Code and agent skill by prysai/prysai-llm-playbook

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Audit a proposed tutorial or workflow for Codex, Claude Code, Grok, ChatGPT, Gemini, Copilot, or another LLM platform against a platform-adapter contract. Use when deciding whether platform-specific content adds a sourced, runnable, maintainable delta from the universal LLM core. Do not use for a general model ranking or to infer equivalent commands and permissions.

Install

npx vskill@latest install prysai/prysai-llm-playbook/prysai-platform-adapter-review

SKILL.md

Platform Adapter Review

Decide whether a named-platform lesson earns its name. A platform page must teach a real product delta; a feature list with the vendor changed does not.

Freeze the claim

Record the platform, surface, account or plan boundary, version/date, reader outcome, universal core prerequisite, proposed status, and exact claims under review. Split mixed-platform claims unless one fixed comparison task and rubric make them genuinely comparable.

Inspect the adapter contract

Require explicit answers for:

  1. surface: chat, desktop, CLI, IDE, web, API, or another entry;
  2. context_injection: files, rules, conversation state, retrieval, or user

artifacts;

  1. actions: what the surface can observe or change;
  2. authority: permissions, confirmations, sandbox, account, billing, and

external side effects;

  1. persistence: what survives a turn, session, task, or project;
  2. control_loop: observable planning, tool use, feedback, retries, and

delegation;

  1. verification_surface: diffs, logs, citations, previews, tests, traces, or

external state;

  1. failure_modes: product-specific misunderstandings and degradation paths;
  2. volatile_facts: authoritative URL, access date, scope, owner, and next

review;

  1. transfer_lab: fixed inputs, safe actions, acceptance, cleanup, failure,

and evidence limit.

Mark an item not_applicable only with a reason. Mark it unknown when no current source or run supports an answer.

Apply evidence gates

Separate three evidence classes:

  • official fact: current first-party documentation or source owned by the

platform;

  • observed behavior: a preserved run with platform configuration and visible

actions;

  • field signal: a public report that establishes a symptom or need only.

Community posts cannot satisfy an official-fact gate. Documentation cannot prove the user's account, runtime, or outcome. One successful run cannot prove universal behavior, reliability, superiority, or learner transfer.

Reject unsupported equivalence. Matching product labels such as Agent, tool, memory, project, Skill, or search do not establish identical semantics. Compare only a fixed task with the same inputs, acceptance criteria, risk boundary, and review rubric; retain configuration differences and not_comparable results.

Decide the disposition

Return one of:

  • admit_candidate: every required delta, source, run, failure, owner, review

date, and evidence limit exists;

  • draft_source_gap: a material volatile claim lacks first-party support;
  • draft_run_gap: the contract is sourced but has no bounded execution;
  • merge_into_core: no meaningful platform delta remains;
  • quarantine: licensing, safety, privacy, or provenance is unclear;
  • retire: the adapter is stale, ownerless, duplicated, or no longer useful.

Do not promote a page because login succeeded, a command exists, or prose looks complete. A candidate adapter is still not verified learner transfer or production guidance.

Report the review

Lead with the disposition and the single strongest reason. Then provide the contract matrix, unsupported claims, source/run/license gaps, duplication with the universal core, required next experiment, owner, next review date, and what passing would still not prove. Keep the format proportional to the number of claims; do not force ceremonial headings onto a one-claim review.

Maintenance record

  • source: original Prysai Lab method implementing ADR-0025 and the gold

content admission boundary

  • license: original rewrite; vendor documentation and community reports stay

reference-only unless separately licensed

  • owner: platform-adapter maintainer
  • version: 0.1.0
  • review_date: 2026-09-12
  • content_status: candidate

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
437
Repository forks
8
7-day trend score
30

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
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