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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-probe

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

85/100

Category

Automation

Supported Platforms

Universal

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.

Substance
26/30
Structure
13/20
Description
15/15
Adoption
13/20
Freshness
15/15

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.

SkillScoreStarsUpdatedFormat
endpoint-probe (this skill)by hoangsonww851.0k12d agoSKILL.md
Agent-Reachby Panniantong10092.4k21d agoCLAUDE.md
headroomby headroomlabs-ai10074.5ktodayCLAUDE.md
Scraplingby D4Vinci10085.9ktodayMCP Server
crawl4aiby unclecode10084.8k1d agoMCP 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.

name: 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).

Related Skills

View on GitHub
GitHub Stars1.0k
CategoryAutomation
Updated12d ago
Forks238

Languages

JavaScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions