What is pattern_detection?

A command for scanning a complete history to find relationships, chain reactions, and unusual events. The available description does not identify the data sources or subject area.

Use it for a full-history pattern and anomaly report when the required skill instructions and data are available.

It is intended to reduce the need to inspect long records manually, but the exact problems it handles depend on the referenced skill file.

How gtr36/personal-health-graph configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to gtr36/personal-health-graph. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/gtr36/personal-health-graph/main/.claude/commands/pattern_detection.md

Clone the repo

git clone --depth 1 https://github.com/gtr36/personal-health-graph

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/gtr36/personal-health-graph/pattern_detection/github.svg)](https://agentmods.dev/commands/gtr36/personal-health-graph/pattern_detection)

Your own site

<a href="https://agentmods.dev/commands/gtr36/personal-health-graph/pattern_detection"><img src="https://agentmods.dev/badge/commands/gtr36/personal-health-graph/pattern_detection/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/gtr36/personal-health-graph/pattern_detection"><img src="https://agentmods.dev/badge/commands/gtr36/personal-health-graph/pattern_detection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 75 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 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.

Model	Per session	Once invoked
Fable 5.1	$0.00011	$0.00075
Opus 5.5	$0.00004	$0.00030
Sonnet 5.5	$0.00002	$0.00015
Haiku 4.5	$0.00001	$0.00007

Measured 2mo ago against content hash f87fb058db72, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pattern_detection 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 2mo 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.

.claude/commands/pattern_detection.md · 6 lines

What it actually says

Read skills/PATTERN_DETECTION.md and execute the skill as specified. The skill file contains the complete methodology — multi-source pattern scanning, cascade detection, anomaly identification, and statistical rigor notes. Save the pattern detection report to the location specified in its saves_to: field.

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.

2mo ago First seen · 6 lines · 11 tokens per session scan A f87fb058db72

Subscribe to this mod's changes

pattern_detection is a command published in the GitHub repository gtr36/personal-health-graph (20 stars, last pushed 2mo ago), licensed MIT. It adds 11 tokens to every session and 75 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 2026-08-30.

Analytics and metrics

pattern_detection next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
pattern_detectiongtr36/personal-health-graph	Command	20	2mo ago	MIT	A	11	Claude Code
checklistgithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
clarifygithub/spec-kit	Command	148k	yesterday	MIT	A	27	Claude Code
specifygithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
analyzegithub/spec-kit	Command	148k	yesterday	MIT	A	26	Claude Code
convergegithub/spec-kit	Command	148k	yesterday	MIT	A	35	Claude Code
implementgithub/spec-kit	Command	148k	yesterday	MIT	A	14	Claude Code

personal-health-graph: Command for Claude Code