introspect

introspect is a skill for Claude Code, Codex from OZmasterAI/Torus-Framework. It costs 49 tokens per session (4,822 once invoked), scanned C, original, Apache-2.0.

A read-only health check for the Torus framework. It inventories its components, measures coverage and health, compares results with earlier checks, and identifies improvement areas.

In plain words
What is it for?
It helps review gates, hooks, tools, skills, agents, and stored results, then produce a prioritised improvement roadmap while recording scan failures.
Why use it?
It gives a structured view of what exists and what may be missing without changing project files.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; mentions CLAUDE.md.

Good fit It helps review gates, hooks, tools, skills, agents, and stored results, then produce a prioritised improvement roadmap while recording scan failures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ozmasterai/torus-framework/introspect
Install

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.

Any agent
npx skills add OZmasterAI/Torus-Framework --skill introspect
Clone the repo
git clone --depth 1 https://github.com/OZmasterAI/Torus-Framework

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for introspect

README.md
[![agentmods](https://agentmods.dev/badge/skills/ozmasterai/torus-framework/introspect/github.svg)](https://agentmods.dev/skills/ozmasterai/torus-framework/introspect)
Your own site
<a href="https://agentmods.dev/skills/ozmasterai/torus-framework/introspect"><img src="https://agentmods.dev/badge/skills/ozmasterai/torus-framework/introspect/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.

agentmods 80×15 button for introspect

Your own site · 80×15
<a href="https://agentmods.dev/skills/ozmasterai/torus-framework/introspect"><img src="https://agentmods.dev/badge/skills/ozmasterai/torus-framework/introspect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,822 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.04822
Opus 5.5 $0.00020 $0.01929
Sonnet 5.5 $0.00010 $0.00964
Haiku 4.5 $0.00005 $0.00482

Measured 1mo ago against content hash d213c5424d83, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

introspect scanned grade C with 2 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

cat ~/.claude/stats-cache.json 2>/dev/null || echo '{}'

Enumerates other installed skillsmediumAgent snooping

Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.

ls ~/.claude/skill-library/*/SKILL.md 2>/dev/null
dormant/skills/self-improve/introspect/SKILL.md · 522 lines

How it starts

The opening of the file, as written. The whole thing — 522 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/introspect — Framework Deep Self-Analysis

When to use

When the user says "introspect", "self-analysis", "framework health check", "what needs improvement", "audit the framework", "what's missing", "framework inventory", or wants a structured assessment of the Torus framework's current state.

Hard Limits (read before executing anything)

  • Read-only — never modify any files during introspection
  • Always search memory for previous introspect results before starting
  • Always save results to memory after completing the report
  • Show raw numbers in all tables (no rounding percentages to hide detail)
  • If any scan step fails, record the failure and continue — partial data is better than none

Phase 1: SCAN — Enumerate All Framework Components

Collect a complete inventory. Run ALL of the following:

Gates:

ls ~/.claude/hooks/gates/gate_*.py 2>/dev/null | sort
ls ~/.claude/hooks/gates/gate_*.py 2>/dev/null | wc -l

For each gate file, extract its gate number and name:

python3 -c "
import os, re
gate_dir = os.path.expanduser('~/.claude/hooks/gates')
gates = sorted(f for f in os.listdir(gate_dir) if f.startswith('gate_') and f.endswith('.py'))
for g in gates:
    path = os.path.join(gate_dir, g)
    with open(path) as f:
        content = f.read()
    # Extract gate name from GATE_NAME constant or first docstring
    name_match = re.search(r'GATE_NAME\s*=\s*[\"\'](.*?)[\"\']', content)
    num_match = re.search(r'gate_(\d+)', g)
    lines = content.count('\n')
    name = name_match.group(1) if name_match else '(unnamed)'
    num = num_match.group(1) if num_match else '?'
    print(f'  Gate {num:>2}: {g:<30} {lines:>4} lines  name={name}')
"

Skills:

ls ~/.claude/skill-library/*/SKILL.md 2>/dev/null
ls ~/.claude/skill-library/*/SKILL.md 2>/dev/null | wc -l

For each skill, extract name and description:

python3 -c "
import os, re
skills_dir = os.path.expanduser('~/.claude/skill-library')
for skill in sorted(os.listdir(skills_dir)):
    skill_path = os.path.join(skills_dir, skill, 'SKILL.md')
    if os.path.exists(skill_path):
        with open(skill_path) as f:
            content = f.read()
        desc_match = re.search(r'^description:\s*>?\s*\n\s+(.*)', content, re.MULTILINE)
        inline_match = re.search(r'^description:\s+(.+)$', content, re.MULTILINE)
        desc = (desc_match or inline_match)
        desc_text = desc.group(1)[:60] if desc else '(no description)'
        lines = content.count('\n')
        print(f'  {skill:<20} {lines:>4} lines  {desc_text}')
"

Read the full file on GitHub · 522 lines

Changes

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.

  1. 1mo ago First seen · 522 lines · 49 tokens per session scan C d213c5424d83

Subscribe to this mod's changes

introspect is a skill published in the GitHub repository OZmasterAI/Torus-Framework (5 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 49 tokens to every session and 4,822 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 2 findings (reads agent configuration directories, enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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