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 workflow-optimizergit 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/workflow-optimizer)<a href="https://agentmods.dev/skills/hoangsonww/claude-code-agent-monitor/workflow-optimizer"><img src="https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/workflow-optimizer/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/workflow-optimizer"><img src="https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/workflow-optimizer.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 | $0.00060 | $0.00890 |
| Opus 5 | $0.00030 | $0.00445 |
| Sonnet 5 | $0.00012 | $0.00178 |
| Haiku 4.5 | $0.00006 | $0.00089 |
Grade A, and why
workflow-optimizer 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 9d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow Optimizer
Analyze Claude Code workflows using the Agent Monitor's workflow intelligence engine.
Input
The user provides: $ARGUMENTS
Options: "analyze", a session ID for single-session analysis, or a focus: "tools", "subagents", "cost", "errors".
Data Sources
| Endpoint | Returns |
|---|---|
GET /api/sessions?limit=100 |
Session list with metadata |
GET /api/workflows/{sessionId} |
11 workflow datasets (see below) |
GET /api/analytics |
Tool usage top 20, event types, agent types |
GET /api/pricing |
Model pricing rules for cost comparison |
Workflow Intelligence API (GET /api/workflows/{sessionId})
Returns these 11 datasets per session:
| Dataset | Content |
|---|---|
stats |
Aggregate session stats: tool count, agent depth, event count |
orchestration |
DAG: agent nodes with parent/child edges, depths, types |
toolFlow |
Transition matrix: tool A → tool B with counts (common sequences) |
effectiveness |
Subagent success: per-type completion rates, avg duration, task success |
patterns |
Recurring sequences: detected workflow patterns with frequency |
modelDelegation |
Model choices: which models are delegated which tasks |
errorPropagation |
Error flow by depth: where in the agent tree errors originate and propagate |
concurrency |
Concurrency lanes: overlapping agent execution timelines |
complexity |
Complexity score: numerical score based on depth, breadth, tool diversity |
compaction |
Compaction impact: token savings, frequency, context health |
cooccurrence |
Agent pairs: which agents frequently run together |
Optimization Analyses
1. Tool Flow Optimization
From toolFlow transition data:
- Identify the most common tool sequences (e.g., Read → Edit → Bash)
- Find redundant transitions (same tool called repeatedly = retries)
- Detect anti-patterns: high-frequency failure loops
- Recommend tool chain shortcuts
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.
- 9d ago First seen · 98 lines · 60 tokens per session scan A b2bbd6b8ae9f
workflow-optimizer is a skill published in the GitHub repository hoangsonww/Claude-Code-Agent-Monitor (991 stars, last pushed 4d ago), licensed MIT. It adds 60 tokens to every session and 890 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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