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 skills add visionTw/godot-ai-harness --skill bug-reportgit clone --depth 1 https://github.com/visionTw/godot-ai-harnessWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/visiontw/godot-ai-harness/bug-report)<a href="https://agentmods.dev/skills/visiontw/godot-ai-harness/bug-report"><img src="https://agentmods.dev/badge/skills/visiontw/godot-ai-harness/bug-report/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/visiontw/godot-ai-harness/bug-report"><img src="https://agentmods.dev/badge/skills/visiontw/godot-ai-harness/bug-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00036 | $0.01505 |
| Opus 5.5 | $0.00014 | $0.00602 |
| Sonnet 5.5 | $0.00007 | $0.00301 |
| Haiku 4.5 | $0.00004 | $0.00151 |
Grade A, and why
bug-report 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 1mo ago.
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.
This is a copy
98% identical to bug-report — 87 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase 1: Parse Arguments
Determine the mode from the argument:
- No keyword → Description Mode: generate a structured bug report from the provided description
analyze [path]→ Analyze Mode: read the target file(s) and identify potential bugsverify [BUG-ID]→ Verify Mode: confirm a reported fix actually resolved the bugclose [BUG-ID]→ Close Mode: mark a verified bug as closed with resolution record
If no argument is provided, ask the user for a bug description before proceeding.
Phase 2A: Description Mode
-
Parse the description for key information: what broke, when, how to reproduce it, and what the expected behavior is.
-
Search the codebase for related files using Grep/Glob to add context (affected system, likely files).
-
Draft the bug report:
# Bug Report
## Summary
**Title**: [Concise, descriptive title]
**ID**: BUG-[NNNN]
**Severity**: [S1-Critical / S2-Major / S3-Minor / S4-Trivial]
**Priority**: [P1-Immediate / P2-Next Sprint / P3-Backlog / P4-Wishlist]
**Status**: Open
**Reported**: [Date]
**Reporter**: [Name]
## Classification
- **Category**: [Gameplay / UI / Audio / Visual / Performance / Crash / Network]
- **System**: [Which game system is affected]
- **Frequency**: [Always / Often (>50%) / Sometimes (10-50%) / Rare (<10%)]
- **Regression**: [Yes/No/Unknown -- was this working before?]
## Environment
- **Build**: [Version or commit hash]
- **Platform**: [OS, hardware if relevant]
- **Scene/Level**: [Where in the game]
- **Game State**: [Relevant state -- inventory, quest progress, etc.]
## Reproduction Steps
**Preconditions**: [Required state before starting]
1. [Exact step 1]
2. [Exact step 2]
3. [Exact step 3]
**Expected Result**: [What should happen]
**Actual Result**: [What actually happens]
## Technical Context
- **Likely affected files**: [List of files based on codebase search]
- **Related systems**: [What other systems might be involved]
- **Possible root cause**: [If identifiable from the description]
## Evidence
- **Logs**: [Relevant log output if available]
- **Visual**: [Description of visual evidence]
## Related Issues
- [Links to related bugs or design documents]
## Notes
[Any additional context or observations]
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.
- 1mo ago First seen · 164 lines · 36 tokens per session scan A 05fb5bf33e50
bug-report is a skill published in the GitHub repository visionTw/godot-ai-harness (2 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 1,505 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to bug-report, differing in 87 lines, and is treated as a copy.
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