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 slo-checkgit 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/slo-check)<a href="https://agentmods.dev/skills/hoangsonww/claude-code-agent-monitor/slo-check"><img src="https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/slo-check/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/slo-check"><img src="https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/slo-check.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 | $0.00076 | $0.00798 |
| Opus 5 | $0.00038 | $0.00399 |
| Sonnet 5 | $0.00015 | $0.00160 |
| Haiku 4.5 | $0.00008 | $0.00080 |
Grade A, and why
slo-check 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.
- Read-only: only report what the API returns. If `curl` cannot reach `http://localhost:4820`, tell the user to start the dashboard with `npm start` from the repo root. How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SLO Check
Turn raw event counts into a clear SLO scorecard with error-budget accounting.
Input
The user provides: $ARGUMENTS
This may be:
- empty — use the default SLO targets below over all available data
- targets like "completion=95 success=99 error=1" — override the defaults (percentages)
- a window like "last 7d" or "today" — restrict the measurement period
Default SLO targets: completion rate ≥ 95%, tool success rate ≥ 99%, error rate ≤ 1%.
Data Sources
| Endpoint | Returns |
|---|---|
GET /api/analytics |
event_types (PreToolUse, PostToolUse, APIError counts), sessions_by_status, daily_events (365d), daily_sessions (365d) — the raw numerators/denominators for every SLI |
GET /api/stats |
total_sessions, total_events, events_today, sessions_by_status — fleet totals and recency |
GET /api/events?session_id=X |
Per-session stream — drill into the sessions that breach an SLO |
Report Sections
1. Service Level Indicators (SLIs)
Compute each SLI from GET /api/analytics / GET /api/stats:
- Completion rate = completed sessions / total sessions (from
sessions_by_status; countactive/runningas in-flight, exclude them from the denominator if still open). - Tool success rate =
PostToolUse / PreToolUse(capped at 100%). - Error rate =
APIError / total_events. Within a window, derive the numerators/denominators fromdaily_events/daily_sessions.
2. SLO Scorecard
For each SLI, compare to its target and mark MET ✅ or BREACHED ❌.
3. Error Budget
For each objective, report the error budget and how much remains:
- Budget =
1 − target(e.g., 1% for a 99% target). - For "higher-is-better" SLOs (completion, success): remaining =
(observed − target) / (1 − target). - For "lower-is-better" SLOs (error rate): remaining =
(target − observed) / target. - A negative result means the budget is exhausted — report how far over (e.g., "2.7× over budget").
4. Breach Drill-Down
For any breached SLO, list the sessions contributing most to the breach (most failed tools or most APIErrors) via GET /api/events?session_id=X.
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.
- 9d ago First seen · 63 lines · 76 tokens per session scan A 856654c073fc
slo-check is a skill published in the GitHub repository hoangsonww/Claude-Code-Agent-Monitor (991 stars, last pushed 4d ago), licensed MIT. It adds 76 tokens to every session and 798 once invoked, about $0.0004 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.
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