auto-eval
Run the full game-gen-eval pipeline in normal mode (state injection + visual interaction verification) from a generated game.
Skill by NetX-lab
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Install
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About
Use cases: data
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Shell scripts
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/auto-eval
What's inside
- Skill name
auto-eval- Description
- Run the full game-gen-eval pipeline in normal mode (state injection + visual interaction verification) from a generated game. Use when you want an end-to-end evaluation that produces summary_report.md and evaluation_report.md.
- License
- MIT
- Instructions
- 145 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (2)
- SKILL.md
- dev_server_lifecycle.sh · scripts/
SKILL.md (first lines)
## Input
Parse parameters from the user request (support both styles):
- Key/value: `game_name=shooter_game run_id=20260301_120000 max_concurrent=3`
- Positional: `shooter_game 20260301_120000`
Required:
- `game_name`
Optional:
- `run_id` (default: timestamp `YYYYMMDD_HHMMSS`)
- `max_concurrent` (default: 3)
- `game_url` (if provided, skip starting the dev server and use this URL)
- `screenshot_mode` (`sequence` by default, use `standard` only for an explicit low-storage override)
- `screenshot_interval` (default: 200 ms when `screenshot_mode=sequence`)
## Prerequisites
Verify required files exist:
- `descriptions_example/{game_name}.md`
- `games/{game_name}/src/`
- `games/{game_name}/data.md`
- `games/{game_name}/state_injection_api.md`
- `games/{game_name}/package.json`
If any are missing, stop and report which files are missing.
## Pipeline (Normal Mode)
### Step 0: Resolve run_id and output dir
If `run_id` is missing, generate with:
```bash
run_id=$(date +%Y%m%d_%H%M%S)
```
Output root: `runs/{game_name}/{run_id}/`
### Step 1: Distill keypoints
Run the `distill-verified-keypoints` skill on `descriptions_example/{game_name}.md`.
### Step 2: Analyze implementation
Run `analyze-game-implementation` with:
```
game_name={game_name}
run_id={run_id}
```
### Step 3: Start game server (unless game_url provided)
Use the bundled lifecycle script (deterministic and reusable):
If `game_url` is provided:
```bash
REPO_ROOT="$(pwd)"
eval "$("$REPO_ROOT/skills/auto-eval/scripts/dev_server_lifecycle.sh" start \
--repo-root "$REPO_ROOT" \
--game-name "{game_name}" \
--game-url "{game_url}")"
```
If `game_url` is not provided:
```bash
REPO_ROOT="$(pwd)"
eval "$("$REPO_ROOT/skills/auto-eval/scripts/dev_server_lifecycle.sh" start \
--repo-root "$REPO_ROOT" \
--game-name "{game_name}" \
--bootstrap-playwright)"
```
### Step 4: Keypoint orchestration (normal)
Run `keypoint-orchestrator` with:
```
game_name={game_name}
run_id={run_id}
max_concurrent={max_concurrent}
test_mode=normal
game_url={GAME_URL or game_url}
screenshot_mode={screenshot_mode}
screenshot_interval={screenshot_interval}
```
### Step 4.5: Validate artifact contract (required before final report)
```bash
python3 "$REPO_ROOT/skills/keypoint-orchestrator/scripts/validate_artifacts.py" \
--repo-root "$REPO_ROOT" \
--game-name "{game_name}" \
--run-id "{run_id}" \
--test-mode normal \
--json-output "$REPO_ROOT/runs/{game_name}/{run_id}/validation_report.json"
```
If validation fails, stop and repair missing/invalid artifacts before generating `evaluation_report.md`.
### Step 5: Stop server (if started here)
```bash
"$REPO_ROOT/skills/auto-eval/scripts/dev_server_lifecycle.sh" stop \
--state-file "${SERVER_STATE_FILE:-}" \
--server-pid "${SERVER_PID:-}" >/dev/null
```
### Step 6: Generate final report
Summarize `summary_report.md` and write:
- `runs/{game_name}/{run_id}/evaluation_report.md`
Suggested format:
```markdown
# Evaluation Report: {game_name}
## Summary
- Total: X
- Passed: Y
- Failed: Z
- Pass Rate: Y/X%From NetX-lab/GameGen-Verifier, MIT.
More from NetX-lab/GameGen-Verifier
- 0.519score
game-gen-with-data
NetX-lab
Generate a runnable TypeScript game from a game description file, plus data.md and a state injection API for evaluation.
SkillCFreshness: C★ 3Claude Code +9 - 0.519score
distill-verified-keypoints
NetX-lab
Extract discrete, verifiable, specification-first keypoints from a game description for subsequent evaluation of game logic correctness.
SkillCFreshness: C★ 3Claude Code +9 - 0.514score
analyze-game-implementation
NetX-lab
Analyze game source code and write a concise implementation summary for downstream testing.
SkillCFreshness: C★ 3Claude Code +9 - 0.513score
keypoint-orchestrator
NetX-lab
Orchestrate normal keypoint testing with bounded concurrency.
SkillCFreshness: C★ 3Claude Code +9 - 0.511score
generative-state-construction
NetX-lab
Convert fuzzy keypoint text into concrete short interaction data for executable verification.
SkillCFreshness: C★ 3Claude Code +9 - 0.511score
short-interaction-verification
NetX-lab
Execute Playwright verification for one concrete short interaction and write result artifacts.
SkillCFreshness: C★ 3Claude Code +9 - 0.508score
recheck-orchestrator
NetX-lab
Run cross-verification on an existing evaluation run and generate recheck_summary.md plus recheck_comparison.json.
SkillCFreshness: C★ 3Claude Code +9 - 0.508score
cross-verification
NetX-lab
Recheck an existing normal keypoint evaluation artifact without rerunning the game.
SkillCFreshness: C★ 3Claude Code +9
Signals
- Stars
- 3
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 7, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/NetX-lab/GameGen-Verifier
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from NetX-lab
- 0.519score
game-gen-with-data
NetX-lab
Generate a runnable TypeScript game from a game description file, plus data.md and a state injection API for evaluation.
SkillCFreshness: C★ 3Claude Code +9 - 0.519score
distill-verified-keypoints
NetX-lab
Extract discrete, verifiable, specification-first keypoints from a game description for subsequent evaluation of game logic correctness.
SkillCFreshness: C★ 3Claude Code +9 - 0.514score
analyze-game-implementation
NetX-lab
Analyze game source code and write a concise implementation summary for downstream testing.
SkillCFreshness: C★ 3Claude Code +9 - 0.513score
keypoint-orchestrator
NetX-lab
Orchestrate normal keypoint testing with bounded concurrency.
SkillCFreshness: C★ 3Claude Code +9 - 0.511score
generative-state-construction
NetX-lab
Convert fuzzy keypoint text into concrete short interaction data for executable verification.
SkillCFreshness: C★ 3Claude Code +9 - 0.511score
short-interaction-verification
NetX-lab
Execute Playwright verification for one concrete short interaction and write result artifacts.
SkillCFreshness: C★ 3Claude Code +9
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Cite this page
auto-eval skill. Agent Mart. https://agentmart.dev/skills/netx-lab-auto-eval (last updated 2026-10-24)