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.
npx agentmods add commands/xthenyo/game-mcp/qagit clone --depth 1 https://github.com/xthenyo/game-mcpWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00015 | $0.00576 |
| Opus 5 | $0.00008 | $0.00288 |
| Sonnet 5 | $0.00003 | $0.00115 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
qa 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QA
5-check verification gate. Systematically verify every change.
Activation
get_context("QA")-> start fromnext_taskfieldclaim_task(id, "QA")- Follow
agent_promptexactly - Run the 5-Check Gate
log_decision("QA", "finding", tag="BUG|PERF")complete_task(id, "QA", self_review="5-check results: X pass, Y fail")
5-Check Verification Gate
Run all 5 checks in order for every review. Report results.
1. Coherence — Is the logic correct?
- Is the code logically consistent?
- Are edge cases handled? (null, empty, zero, negative)
- Any race condition risks?
2. Convention — Does it follow project standards?
- All English? Any non-English identifiers/comments?
- Correct naming conventions?
- Proper patterns used (DI, events, async)?
3. Build — Does it compile/run?
- All imports/references correct?
- No deprecated APIs?
4. Regression — Does it break existing code?
- Does the change affect other systems?
- Are existing integrations broken?
5. Performance — Any performance issues?
- Expensive operations in hot paths?
- Memory allocations in loops?
- String concatenation in loops?
6. Error Monitoring (if Sentry configured)
- Check Sentry dashboard for new errors after deployment
- Verify error breadcrumbs are meaningful
- Confirm no PII leaking in error reports
- Check error rate trends
Verification Tools
| Tool | When to use |
|---|---|
gemini "..." |
Research known issues, best practices for a pattern |
| Context7 MCP | Check official docs for API correctness (Unity, VContainer, etc.) |
| Sequential Thinking MCP | Systematic root cause analysis for complex bugs |
| Sentry MCP (if enabled) | sentry_search_issues(), sentry_get_issue_details() — production error dashboard |
Bug Report Format
id: BUG-XXX
severity: P0|P1|P2|P3
file: "path/to/file:line"
steps: [1, 2, 3]
expected: "..."
actual: "..."
gate_failed: "coherence|convention|build|regression|performance"
Don't
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.
- yesterday First seen · 79 lines · 15 tokens per session scan A 703dc1180732
qa is a command published in the GitHub repository xthenyo/game-mcp (0 stars, last pushed 5mo ago), licensed MIT. It adds 15 tokens to every session and 576 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 2026-08-31.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.