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/whats-next)<a href="https://agentmods.dev/commands/hoangsonww/claude-code-agent-monitor/whats-next"><img src="https://agentmods.dev/badge/commands/hoangsonww/claude-code-agent-monitor/whats-next/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/whats-next"><img src="https://agentmods.dev/badge/commands/hoangsonww/claude-code-agent-monitor/whats-next.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 | $0.00015 | $0.00317 |
| Opus 5 | $0.00008 | $0.00159 |
| Sonnet 5 | $0.00003 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
whats-next 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
1. Fetch recent sessions: `curl -s 'http://localhost:4820/api/sessions?limit=20'` (already sorted most-recently-updated first). What it actually says
Recommend what to pick up next, using Agent Monitor data at http://localhost:4820. If the dashboard is unreachable, tell the user to start it with npm start from the repo root.
Optional $ARGUMENTS: a project path (cwd) to scope the suggestion to one project; otherwise consider all recent work.
- Fetch recent sessions:
curl -s 'http://localhost:4820/api/sessions?limit=20'(already sorted most-recently-updated first). - For the most recent unfinished sessions (
statusofrunning,error, orabandoned), fetch their events to see where they left off:curl -s 'http://localhost:4820/api/events?session_id=<id>'— look at the last few events (lasttool_name,summary, and anyAPIError/Compactionevent types).
Print a short, prioritized "Next up" list (top 3–5 items). For each item give:
- The project (
cwd) and session status. - What it was last doing (from the final events / last tool used).
- A concrete suggested next action (resume, debug the error, re-run after compaction, or close out).
Put unresolved errors and abandoned-mid-task sessions at the top. Keep it to one screen and cite only data returned by the API.
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 · 21 lines · 15 tokens per session scan A f188f7a60c52
whats-next is a command published in the GitHub repository hoangsonww/Claude-Code-Agent-Monitor (991 stars, last pushed 4d ago), licensed MIT. It adds 15 tokens to every session and 317 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.
handoff
Capture current work context for handoff to another agent/developer.
apex
APEX Methodology - The systematic Analyze-Plan-Execute-eLicit-eXamine approach for intelligent development. Reduces hallucination and defect risk through mandatory parallel research, self-review, and validation gates.
resume-cover-letter
Write a resume/CV or cover letter for a job application.