endpoint-probe
Probes each major Agent Monitor API route — /api/stats, /api/analytics, /api/sessions, /api/pricing/cost, /api/workflows/runs, /api/cc-config/overview — and reports each one's HTTP status, latency, and response shape, flagging which are reachable.
Install / Use
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill endpoint-probeInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Our assessment of endpoint-probe
endpoint-probe scores 85/100 on our quality scale, 1952nd of 2,892 Automation skills we index.
Its SKILL.md is 2.9 KB long, well organised into 9 sections and no code examples: a solid amount of guidance for an agent.
With 1,015 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 12 days ago, so endpoint-probe is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
endpoint-probe compared with similar skills
All 4 of these similar skills score higher than endpoint-probe; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| endpoint-probe (this skill)by hoangsonww | 85 | 1.0k | 12d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 92.4k | 21d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.5k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 85.9k | today | MCP Server |
| crawl4aiby unclecode | 100 | 84.8k | 1d ago | MCP Server |
Frequently asked questions
- How do I install endpoint-probe?
- Run
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill endpoint-probe. The install tabs above show the steps for each supported agent. - Which AI agents does endpoint-probe work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is endpoint-probe safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is endpoint-probe still maintained?
- The repository was last updated 12 days ago, so endpoint-probe is actively maintained.
Skill content
View source on GitHubname: endpoint-probe description: > Probes each major Agent Monitor API route — /api/stats, /api/analytics, /api/sessions, /api/pricing/cost, /api/workflows/runs, /api/cc-config/overview — and reports each one's HTTP status, latency, and response shape, flagging which are reachable. Use to verify a dashboard install is wired up correctly.
Endpoint Probe
Smoke-test the dashboard's main API surface by hitting each major route once and reporting whether it responds and what shape it returns.
Input
The user provides: $ARGUMENTS
Options: empty (default: probe all routes below), or a substring to filter which
routes are probed (e.g. pricing probes only matching routes).
Data Sources
| Endpoint | Returns |
|----------|---------|
| GET /api/stats | { total_sessions, active_sessions, active_agents, total_agents, total_events, events_today, ws_connections, agents_by_status, sessions_by_status } |
| GET /api/analytics | { overview, tokens, tool_usage, daily_events, daily_sessions, agent_types, event_types, avg_events_per_session, total_subagents, sessions_by_status, agents_by_status } |
| GET /api/sessions | Session list; each: id, status, model, cwd, started_at, ended_at, cost, metadata |
| GET /api/pricing/cost | { total_cost, breakdown:[{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] } |
| GET /api/workflows/runs | Workflow-tool run journals (fleets) |
| GET /api/cc-config/overview | Claude Code config explorer overview (skills, agents, commands, plugins, mcp, hooks, etc.) |
Method
For each route, issue a single GET against http://localhost:4820<path> with a
short timeout, capturing the HTTP status code, round-trip latency, and the
top-level shape of the JSON body (object keys, or array length). A route counts
as reachable when it returns a 2xx with parseable JSON.
If /api/stats itself fails to connect, the dashboard is not running — stop and
tell the user to start it with npm start (or npm run dev) from the repo root.
Report Sections
1. Probe Matrix
A Markdown table — one row per route — with columns:
endpoint, status (HTTP code), latency, reachable (✅/❌), shape
(e.g. object: {total_cost, breakdown[…]} or array[N]).
2. Reachability Summary
Count of reachable vs total. Name any unreachable or non-2xx routes explicitly.
3. Verdict
One line: install looks healthy (all reachable) or partially wired (list the gaps and the most likely cause — server not running, route disabled, or empty data).
Output
- Compact Markdown; the probe matrix is the centerpiece.
- Cite the real status code, latency, and observed shape per route — never assume.
- Report shape from what actually came back; if a route returns an empty array or object, say so rather than inferring fields.
- Keep currency, where shown, to 4 decimals (e.g.
total_cost: $0.0000).
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crawl4ai
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
