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 hoangsonww/Claude-Code-Agent-Monitor --skill pattern-detectgit clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-MonitorWrote 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/hoangsonww/claude-code-agent-monitor/pattern-detect)<a href="https://agentmods.dev/skills/hoangsonww/claude-code-agent-monitor/pattern-detect"><img src="https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/pattern-detect/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/hoangsonww/claude-code-agent-monitor/pattern-detect"><img src="https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/pattern-detect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00063 | $0.00819 |
| Opus 5 | $0.00032 | $0.00409 |
| Sonnet 5 | $0.00013 | $0.00164 |
| Haiku 4.5 | $0.00006 | $0.00082 |
Grade A, and why
pattern-detect 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 7d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pattern Detect
Identify recurring patterns using the Agent Monitor's workflow intelligence engine.
Input
The user provides: $ARGUMENTS
Options: "all", "tools", "errors", "workflows", "last N sessions".
Data Sources
| Endpoint | Returns |
|---|---|
GET /api/sessions?limit=200 |
Session list with status, model, cwd, metadata |
GET /api/analytics |
tool_usage top 20, event_types, agent_types |
GET /api/workflows/{sessionId} |
11 datasets per session (see below) |
Workflow datasets used for pattern detection
| Dataset | Pattern insight |
|---|---|
toolFlow |
Tool transition matrix: tool A → tool B with counts — reveals sequential habits |
patterns |
Detected workflow patterns: recurring sequences with frequency scores |
cooccurrence |
Agent co-occurrence: which agents frequently run together |
modelDelegation |
Model habits: which models are chosen for which task types |
errorPropagation |
Error patterns: where errors start and how they cascade by agent depth |
effectiveness |
Subagent patterns: which types succeed most, avg duration per type |
compaction |
Compaction triggers: what causes context overflow |
complexity |
Complexity patterns: session complexity scores over time |
Pattern Categories
1. Tool Chain Patterns (from toolFlow)
- Most common sequences: Top 10 tool transitions (e.g., Read → Edit: 145 times)
- Starter tools: First tool used in sessions (indicates task type)
- Finisher tools: Last tool before Stop event
- Anti-patterns: Tool → same Tool repeated (retries/failures)
- Co-occurrence: Tools that always appear together in sessions
2. Workflow Patterns (from patterns)
- Named patterns: Workflow sequences the API has detected with frequency
- Session archetypes: Common session shapes (short edit, long debug, subagent-heavy)
- Project-specific: Patterns that appear in specific working directories
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 79 lines · 63 tokens per session scan A 20080c426032
pattern-detect is a skill published in the GitHub repository hoangsonww/Claude-Code-Agent-Monitor (989 stars, last pushed 2d ago), licensed MIT. It adds 63 tokens to every session and 819 once invoked, about $0.0003 per session on Opus 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 2026-09-03.
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