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.
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill transcript-replaygit 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/transcript-replay)<a href="https://agentmods.dev/skills/hoangsonww/claude-code-agent-monitor/transcript-replay"><img src="https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/transcript-replay/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/transcript-replay"><img src="https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/transcript-replay.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 | $0.00069 | $0.00609 |
| Opus 5.5 | $0.00028 | $0.00244 |
| Sonnet 5.5 | $0.00014 | $0.00122 |
| Haiku 4.5 | $0.00007 | $0.00061 |
Grade A, and why
transcript-replay 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 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.
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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Transcript Replay
Replay a session transcript one turn at a time with a concise summary of each message.
Input
The user provides: $ARGUMENTS
- A session ID to replay, or
- "latest" / "last" for the most recent session.
- Optionally a turn range (e.g.
1-10) orerrorsto focus on tool failures.
Data Sources
| Endpoint | Returns |
|---|---|
GET /api/sessions/:id/transcript |
ordered transcript messages: role (user / assistant / tool), content, tool_name and tool result where applicable, timestamps |
GET /api/sessions/:id |
session header: status, model, cwd, started_at, ended_at, cost, metadata (thinking_blocks, turn_count, total_turn_duration_ms) |
Report Sections
1. Header
GET /api/sessions/:id. Print id, model, cwd basename, status, turn_count,
thinking_blocks, total_turn_duration_ms, and cost in one block.
2. Turn-by-turn walk
GET /api/sessions/:id/transcript. Iterate messages in order. For each turn emit
one compact entry:
- user — the request in one sentence (quote the literal ask only if short).
- assistant — the decision / action taken, plus which tools it invoked.
- tool — the tool name and a one-line result (success value or the error text); do not paste large tool payloads.
Group an assistant message with the tool calls it triggered so each "turn" reads as intent → action → result.
3. Thread highlights
After the walk, pull out: the original goal, the key turning points, any tool failures or retries, and how the session ended (resolved / errored / abandoned).
Output
A numbered turn list (Turn N — <role>: <one-line summary>), grouped intent →
action → result, preceded by the header block and followed by the highlights.
Truncate any quoted content past ~200 chars with …. Currency as USD to 4 decimal
places. Summarize faithfully — never invent message content that is not in the
transcript. If the transcript endpoint returns empty, say the session has no stored
transcript (it may predate transcript capture or need a reimport) rather than
fabricating turns. If the dashboard is unreachable, tell the user to start it with
npm start from the repo root.
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.
- 1mo ago First seen · 60 lines · 69 tokens per session scan A 654b0bec75c8
transcript-replay is a skill published in the GitHub repository hoangsonww/Claude-Code-Agent-Monitor (1,124 stars, last pushed 4d ago), licensed MIT. It adds 69 tokens to every session and 609 once invoked, about $0.0003 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 2026-09-03.
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