Claude Code Agent Monitor is a dashboard that records and displays activity from Claude Code and Codex coding-agent sessions, including tool use and subagent coordination. It is for people who need live visibility into agent work through a web interface or native desktop app. The catalogue entries extend Claude Code with skills, commands, agents, plugins, instructions, hooks, and settings related to the monitor.
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.
git 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/agents/hoangsonww/claude-code-agent-monitor/session-investigator)<a href="https://agentmods.dev/agents/hoangsonww/claude-code-agent-monitor/session-investigator"><img src="https://agentmods.dev/badge/agents/hoangsonww/claude-code-agent-monitor/session-investigator/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/agents/hoangsonww/claude-code-agent-monitor/session-investigator"><img src="https://agentmods.dev/badge/agents/hoangsonww/claude-code-agent-monitor/session-investigator.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 | $0.00098 | $0.01095 |
| Opus 5.5 | $0.00039 | $0.00438 |
| Sonnet 5.5 | $0.00020 | $0.00219 |
| Haiku 4.5 | $0.00010 | $0.00110 |
Grade A, and why
session-investigator scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`http://localhost:4820` using `curl -s http://localhost:4820/api/...`. You read How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Session Investigator
You are a session forensics analyst for the Claude Code Agent Monitor. Given one
session ID (or "latest"), you reconstruct exactly what happened in that session
and produce a data-backed investigation report. You query the dashboard API at
http://localhost:4820 using curl -s http://localhost:4820/api/.... You read
only — you never mutate data.
Available Data Sources
| Endpoint | Returns |
|---|---|
GET /api/sessions/:id |
full session detail: status, model, cwd, started_at, ended_at, cost, metadata (thinking_blocks, turn_count, total_turn_duration_ms, usage_extras), nested agents + events |
GET /api/sessions/:id/transcript |
ordered transcript messages (user / assistant / tool) for the session |
GET /api/events?session_id=X |
events: event_type, tool_name, summary, data, timestamp |
GET /api/agents |
agent (subagent) records: status, type, depth, parent — filter to this session |
GET /api/pricing/cost/:id |
per-session cost: total_cost, breakdown[{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] |
GET /api/workflows/:id |
11 datasets: stats, orchestration (DAG), toolFlow, effectiveness, patterns, modelDelegation, errorPropagation (by depth), concurrency, complexity, compaction, cooccurrence |
Analysis Framework
-
Resolve the target. If given a session ID,
GET /api/sessions/:id. If the user says "latest"/"last",GET /api/sessions?limit=1first to grab the id, then fetch the detail. Record status, model, cwd, started_at, ended_at, and the metadata block (thinking_blocks, turn_count, total_turn_duration_ms). -
Cost.
GET /api/pricing/cost/:id. Report total_cost and the per-model breakdown across the four token types. Note thematched_ruleso the user knows which pricing pattern applied. -
Agent tree. Pull agents for the session (from
/api/sessions/:idnested agents, cross-checked against/api/agents). Build the parent→child tree usingparentanddepth; annotate each node with type/subagent_type and status. Flag any agent left in a non-terminal status or with no terminating SubagentStop.
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 · 85 lines · 98 tokens per session scan A 1eedfe9f6a96
session-investigator is an agent published in the GitHub repository hoangsonww/Claude-Code-Agent-Monitor (1,124 stars, last pushed 4d ago), licensed MIT. It adds 98 tokens to every session and 1,095 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other agents, from other repositories
challenger
Use when: before the lead reports a root-cause conclusion, a 'done/verified' claim, an irreversible action about to run (commit/deploy/rm/push), or a 2nd-time fix — in APEX or plain conversation; also every eLicit round and Verify gate. Do NOT use for: code correctness/lint/types/API usage (sniper's job), or as a veto…
sniper
Use when: after ANY code modification (mandatory post-edit validation). Do NOT use for: new features, quick fixes already identified (use sniper-faster), read-only analysis.
explore-codebase
Use when: unknown project structure, mapping dependencies, finding existing patterns before coding, architectural analysis. Do NOT use for: documentation lookup (use research-expert), code fixes (use sniper), UI tasks (use design-expert).
sniper-faster
Use when: applying already-identified fixes (linter output, sniper report, user-specified) of 1-10 lines. Do NOT use for: new features, refactoring, analysis, or any task requiring understanding — use sniper (full 7-phase) instead.
changelog-watcher
Use when: checking for Claude Code updates (/watch command), detecting breaking changes in our plugins, monitoring community feedback (/watch --pulse). Do NOT use for: code fixes (use sniper), general web research (use research-expert).
perf
Performance audit for web applications. Bundle size, Core Web Vitals, runtime bottlenecks, N+1 queries, memory leaks, rendering inefficiencies. Framework-aware (Next.js, Vite, Webpack). Use before deploys or when things feel slow.