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/commands/hoangsonww/claude-code-agent-monitor/replay)<a href="https://agentmods.dev/commands/hoangsonww/claude-code-agent-monitor/replay"><img src="https://agentmods.dev/badge/commands/hoangsonww/claude-code-agent-monitor/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/commands/hoangsonww/claude-code-agent-monitor/replay"><img src="https://agentmods.dev/badge/commands/hoangsonww/claude-code-agent-monitor/replay.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 | $0.00017 | $0.00354 |
| Opus 5 | $0.00009 | $0.00177 |
| Sonnet 5 | $0.00003 | $0.00071 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
replay 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 8d 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.
`curl -s "http://localhost:4820/api/sessions?limit=1"` and use its `id`. What it actually says
Produce a concise recap of one Claude Code session tracked by the Agent Monitor.
The session id is $ARGUMENTS. If empty, resolve the latest:
curl -s "http://localhost:4820/api/sessions?limit=1" and use its id.
Fetch the session header and its transcript:
curl -s "http://localhost:4820/api/sessions/$ARGUMENTS"
curl -s "http://localhost:4820/api/sessions/$ARGUMENTS/transcript"
The first returns the session detail (status, model, cwd, started_at, ended_at, cost, metadata: turn_count, thinking_blocks, total_turn_duration_ms). The second returns the ordered transcript messages (user / assistant / tool).
Then print, concisely:
- Header — one block:
id · model · status · cwd basename · turn_count turns · $<cost to 4dp> · <started_at → ended_at>. - Recap — 5–10 bullets walking the conversation in order: the user's goal, the key
assistant actions and tools used, any tool failures, and how it ended. Summarize each
message in one line; do not paste large payloads (truncate past ~200 chars with
…).
Currency as USD to 4 decimal places. If the transcript is empty, say the session has no
stored transcript rather than inventing turns. If the dashboard is unreachable, tell the
user to start it with npm start from the repo root.
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.
- 8d ago First seen · 32 lines · 17 tokens per session scan A 810b2e168ac0
replay is a command published in the GitHub repository hoangsonww/Claude-Code-Agent-Monitor (991 stars, last pushed 3d ago), licensed MIT. It adds 17 tokens to every session and 354 once invoked, about $0.0001 per session on Opus 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 commands, from other repositories
lessons-compact
Compact MEMORY/LESSON.md by deduplicating near-identical lessons, merging same-root-cause lessons, and pruning stale ones — without losing any unique signal. Delegates the analysis to the lessons-compactor agent.
prompt-history
Manage history of created and optimized prompts.
lessons
View project lessons in MEMORY/LESSON.md (project root) and append a compact "never reproduce" lesson.
deep-code-analysis
Comprehensive codebase investigation using research-expert for documentation, explore-codebase for structure, and deep analysis. Perfect for understanding complex systems.
watch
Check for Claude Code updates, detect breaking changes, analyze plugin compatibility, and optionally gather community pulse via Exa.
fix
Quick bugfix commit. Use for fix bug, bugfix, patch, hotfix, correct error.