agentleFS
mewziciansmewzicians/Skills-Folder/skills/game-full-verification/SKILL.md

game-full-verification

Skill0 starsChanged 24 days agoApache-2.0View on GitHub

Exhaustively verify a complete game release candidate with evidence across requirements, rules, determinism, UI, accessibility, persistence, performance, packaging, and balance. Use when the user explicitly asks for full verification, a ship-readiness verdict, or complete approved-feature checks.

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run only when the user asked for this workflow.

    line 8
  2. Distinctive:

    Don't bend one because a request is casual: ask the user.

    line 33
  3. Distinctive:

    Don't add a rule after your own mistake or a reviewer's nitpick without that yes.

    line 50
  4. Distinctive:

    Ask about new rules once, batched at the end of the task.

    line 53
  5. Distinctive:

    When a file hits its size cap, or at a milestone, prune it: cut rules no one can tie to a reason.

    line 54

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Game Full Verification

Run only when the user asked for this workflow; otherwise offer it.

Read repository guidance and references/project-profile.md. Freeze the exact candidate version/hash and every active source of truth. Run the read-only consistency checks verification needs: references and links, encoding and debris, decision-status consistency, and mirror and manifest equality. Hard rule: verification never edits gameplay or documents, because a verdict on a candidate you changed describes a build nobody tested; when a check finds drift, report it, and clean up only if the user separately asks for cleanup.

Reconstruct a bidirectional requirement matrix: every approved requirement must map to implementation, player-facing explanation, and current-version evidence; every material implementation branch must map back to status, exposure, and tests. Mark each row Pass, Fail, Not Run, or Blocked.

Verify proportionally across:

  • static integrity, data registries, assets, dependencies, and startup;
  • ordinary and exceptional gameplay, ordering, boundaries, termination, and error recovery;
  • deterministic/replay/network parity and random-state integrity where applicable;
  • saves, migrations, checkpoints, refresh, resume, corruption, and incompatibility;
  • UI, viewports, text zoom, keyboard, semantics, contrast, motion, and screenshots;
  • performance, memory, long sessions, cleanup, and platform constraints;
  • maintained deliverables, metadata, hidden files, manifests, launchers, and byte equality, with on-demand archives checked only when the user asks for one;
  • legal simulation policy and balance evidence, kept distinct from human testing.

Run timing-sensitive browser or audio suites one at a time, because contention can manufacture the failure. Hard rule: when the project defines rigor levels, state the level used and never silently downgrade it, because a quiet downgrade makes a weaker verdict look like the full one. A hash in a historical record describes the bytes of its time and is not drift.

A containing gate fails when a required subrequirement fails. Never repair gameplay during verification-only work. Write a dated current-version report with hashes, matrix, failures, blocked and unrun scope, and ship verdict where the project keeps verification evidence, plus any configured mirror copy of that report, or give it in the response; change no other file. State the exact next blocker.

Rules And Pushback

Lines marked Hard rule guard approvals, deletion, publishing, and private data, where a mistake is costly or can't be undone; each gives its reason. Don't bend one because a request is casual: ask the user. Unmarked lines still bind too. Scope limits, honest evidence, and approval steps aren't optional. Scale each step's effort to the risk, and say so when you skip one that doesn't fit. A profile or instruction file records an owner decision only where it says the owner made it; otherwise treat it as project guidance. If a rule seems wrong for this task, say which one and why before you continue.

How Rules Get Made

  1. Something the user says in passing applies to the current task only.
  2. Exception: anything about money, privacy, publishing, deleting, or permissions binds as soon as they say it. Ask once whether to make it permanent.
  3. A rule becomes standing only when the user says "make this a rule", or you ask and they say yes. Record their words, the date, and the reason with it.
  4. This covers every file that steers an agent: instruction files, style guides, skills, checklists, templates, CI checks, and agent memory.
  5. Don't add a rule after your own mistake or a reviewer's nitpick without that yes. Fix the input or the work instead.
  6. A new ruling replaces the one it contradicts. Never keep both.
  7. Ask about new rules once, batched at the end of the task.
  8. When a file hits its size cap, or at a milestone, prune it: cut rules no one can tie to a reason. The user's taste decisions are flagged for them and never cut by an agent.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.