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 OZmasterAI/Torus-Framework --skill diagnosegit clone --depth 1 https://github.com/OZmasterAI/Torus-FrameworkWrote 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/ozmasterai/torus-framework/diagnose)<a href="https://agentmods.dev/skills/ozmasterai/torus-framework/diagnose"><img src="https://agentmods.dev/badge/skills/ozmasterai/torus-framework/diagnose/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/ozmasterai/torus-framework/diagnose"><img src="https://agentmods.dev/badge/skills/ozmasterai/torus-framework/diagnose.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 | $0.00000 | $0.01620 |
| Opus 5.5 | $0.00000 | $0.00648 |
| Sonnet 5.5 | $0.00000 | $0.00324 |
| Haiku 4.5 | $0.00000 | $0.00162 |
Grade A, and why
diagnose 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.
How it starts
The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/diagnose — Gate Effectiveness Analysis
When to use
When user says "diagnose", "gate health", "which gates fire most", "gate effectiveness", "analyze gates", "gate stats", "gate report", or wants to understand how framework gates are performing.
Commands
/diagnose— Full gate effectiveness analysis for today/diagnose --date YYYY-MM-DD— Analyze a specific day's audit log
Phase 1: COLLECT — Read Today's Audit Log
Determine today's date and read the audit log:
from datetime import date
today = date.today().isoformat() # e.g., "2026-02-20"
audit_path = f"~/.claude/hooks/audit/{today}.jsonl"
Read the file line by line (it is newline-delimited JSON). If the file does not exist, report "No audit log found for {today}" and stop.
Also read the gate effectiveness tracker:
~/.claude/hooks/.gate_effectiveness.json
For each audit log entry, extract:
gate— gate name/label (e.g., "GATE 1: READ BEFORE EDIT")decision— "block", "warn", or "pass"tool— which tool triggered the gatetimestamp— for timing analysissession_id— to identify multi-agent context
Count per gate:
- Total fires
- Blocks (decision == "block")
- Warns (decision == "warn")
- Passes (decision == "pass")
Phase 2: ANALYZE — Calculate Effectiveness Metrics
For each gate compute:
- Block rate = blocks / total_fires (if total_fires > 0)
- Warn rate = warns / total_fires
- False positive indicator: high blocks (>10) + no corresponding test failures in state → flag as potentially noisy
- Status label:
EFFECTIVE— block_rate > 0.05 and total_fires > 5NOISY— block_rate > 0.30 and total_fires > 20 (fires a lot, blocks often)QUIET— total_fires < 3 (rarely triggered)WARN-ONLY— warns > 0 and blocks == 0PASSING— passes == total_fires (never blocked or warned)
Also load the .gate_effectiveness.json cumulative data to cross-reference
lifetime block counts vs today's counts.
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 · 166 lines · 0 tokens per session scan A e8beb7864cb9
diagnose is a skill published in the GitHub repository OZmasterAI/Torus-Framework (5 stars, last pushed 5mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,620 tokens. 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.
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