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.
git clone --depth 1 https://github.com/ArtemioPadilla/agent-triforceWrote 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/commands/artemiopadilla/agent-triforce/debug)<a href="https://agentmods.dev/commands/artemiopadilla/agent-triforce/debug"><img src="https://agentmods.dev/badge/commands/artemiopadilla/agent-triforce/debug/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/commands/artemiopadilla/agent-triforce/debug"><img src="https://agentmods.dev/badge/commands/artemiopadilla/agent-triforce/debug.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 | $0.00010 | $0.00100 |
| Opus 5.5 | $0.00004 | $0.00040 |
| Sonnet 5.5 | $0.00002 | $0.00020 |
| Haiku 4.5 | $0.00001 | $0.00010 |
Grade A, and why
debug 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.
What it actually says
Debug this issue: $ARGUMENTS
Use the systematic-debugging skill. Follow the 4-phase process:
- Root cause investigation (read errors, reproduce, trace data flow)
- Pattern analysis (find working examples, compare)
- Hypothesis testing (one variable at a time)
- Implementation (create failing test, fix root cause, verify)
DO NOT propose fixes before completing Phase 1.
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 · 14 lines · 10 tokens per session scan A 98b330a0486c
debug is a command published in the GitHub repository ArtemioPadilla/agent-triforce (3 stars, last pushed 6mo ago), licensed MIT. It adds 10 tokens to every session and 100 once invoked, about $0.0000 per session on Opus 5.5. 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
crystallize
After a session or an incident, turn what happened into reusable knowledge — learn captures this session's lessons, review/approve promotes incident patterns into agent improvements, skill turns a repeating procedure into a skill.
bugfix
TDD-driven bugfix workflow: tester writes failing test (RED) → developer fixes (GREEN) → developer refactors (REFACTOR) → reviewer validates. Accepts issue number, description, or both. Asks before pushing and creating a PR; --no-pr commits locally without asking.
loop-execution-evaluator
Verify implementation quality. Evaluate-Loop Step 4.
loop-fixer
Fix issues found by evaluation. Evaluate-Loop Step 5.
systematic-debugging
Root-cause analysis and fix implementation for evaluation failures.
analyze
Deep analysis with Hiroshi(Oracle).