cost-alert
Review the configured cost alert rules and the alerts currently fired on the Agent Monitor dashboard, then explain exactly what tripped and why. Uses /api/alerts (fired feed) and /api/alerts/rules (definitions). Use when checking spend alerts or asking why a cost alarm went off.
Install
npx skills add https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-cost-guard/skills/cost-alert
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install hoangsonww-claude-code-agent-monitor@llmmart
git clone https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole hoangsonww/claude-code-agent-monitor collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
Cost Alert
Audit the spend guardrails: which rules exist, which have fired, and what tripped them.
Input
The user provides: $ARGUMENTS
This may be empty (review everything), "unacked" (only unacknowledged alerts),
or a rule name to focus on.
Data Sources
| Endpoint | Returns |
|---|---|
GET /api/alerts/rules |
{ rules: [{ id, name, rule_type, config, enabled, cooldown_seconds }] } — the guardrail definitions |
GET /api/alerts |
{ alerts: [{ id, rule_id, rule_name, rule_type, session_id, agent_id, message, details, triggered_at, acked }], total, unacked, limit, offset } — the fired-alert feed, newest first. ?unacked=true filters to unacknowledged |
What the rule types mean
rule_type |
config |
Fires when |
|---|---|---|
token_threshold |
{ total_tokens } |
A session's cumulative tokens (input + output + cache_read + cache_write) cross the ceiling — the spend-relevant guardrail |
event_pattern |
{ event_type?, tool_name?, summary_contains?, count?, window_minutes? } |
Matching events reach count within the window |
inactivity |
{ minutes } |
An active session goes quiet for minutes |
status_duration |
{ status, minutes } |
An agent is stuck in working/waiting for minutes |
For cost work, focus on token_threshold. Translate its token ceiling to dollars using the blended rate from /api/pricing/cost (total_cost / total_tokens) so the user sees the alarm in money terms.
Report Sections
1. Configured guardrails
Table from /api/alerts/rules: name, type, the human-readable threshold (e.g. token_threshold → 12,500,000 tokens ≈ $50.0000), enabled state, cooldown. Flag rules that are disabled or have no spend-relevant guardrail at all.
2. Fired alerts
Table from /api/alerts: rule name, triggered_at, scope (session/agent id), acked, and the message. Lead with the unacked count. Honor "unacked" input by querying ?unacked=true.
3. What tripped — per alert
For each fired alert, parse details and explain in plain terms: e.g. "session X crossed 12,500,000 tokens (threshold 12,500,000) ≈ $50.12 at current rates — your token_threshold budget rule fired." Tie the observed value back to the rule's config.
4. Next steps
Suggest acknowledging stale alerts (POST /api/alerts/:id/ack or /api/alerts/ack-all), tightening or loosening a threshold, or arming a missing budget rule (point to the budget-set skill).
Output
Markdown tables. Currency as USD to 4 decimal places; token counts with thousands separators. Make the link between each fired alert and the rule that produced it explicit — never report a raw alert without saying which rule tripped and why.
Files (claude-code-agent-monitor)
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agents
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openai.yaml 255 B
interface: display_name: "Cost Alert" short_description: "Review the configured cost alert rules and the alerts..." default_prompt: "Use $cost-alert to inspect CCAM data and complete this workflow safely." policy: allow_implicit_invocation: false
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SKILL.md 3 KB
--- name: cost-alert description: > Review the configured cost alert rules and the alerts currently fired on the Agent Monitor dashboard, then explain exactly what tripped and why. Uses /api/alerts (fired feed) and /api/alerts/rules (definitions). Use when checking spend alerts or asking why a cost alarm went off. --- # Cost Alert Audit the spend guardrails: which rules exist, which have fired, and what tripped them. ## Input The user provides: **$ARGUMENTS** This may be empty (review everything), `"unacked"` (only unacknowledged alerts), or a rule name to focus on. ## Data Sources | Endpoint | Returns | |----------|---------| | `GET /api/alerts/rules` | `{ rules: [{ id, name, rule_type, config, enabled, cooldown_seconds }] }` — the guardrail definitions | | `GET /api/alerts` | `{ alerts: [{ id, rule_id, rule_name, rule_type, session_id, agent_id, message, details, triggered_at, acked }], total, unacked, limit, offset }` — the fired-alert feed, newest first. `?unacked=true` filters to unacknowledged | ## What the rule types mean | `rule_type` | `config` | Fires when | |-------------|----------|------------| | `token_threshold` | `{ total_tokens }` | A session's cumulative tokens (input + output + cache_read + cache_write) cross the ceiling — the spend-relevant guardrail | | `event_pattern` | `{ event_type?, tool_name?, summary_contains?, count?, window_minutes? }` | Matching events reach `count` within the window | | `inactivity` | `{ minutes }` | An active session goes quiet for `minutes` | | `status_duration` | `{ status, minutes }` | An agent is stuck in `working`/`waiting` for `minutes` | For cost work, focus on `token_threshold`. Translate its token ceiling to dollars using the blended rate from `/api/pricing/cost` (`total_cost / total_tokens`) so the user sees the alarm in money terms. ## Report Sections ### 1. Configured guardrails Table from `/api/alerts/rules`: name, type, the human-readable threshold (e.g. `token_threshold → 12,500,000 tokens ≈ $50.0000`), enabled state, cooldown. Flag rules that are `disabled` or have no spend-relevant guardrail at all. ### 2. Fired alerts Table from `/api/alerts`: rule name, `triggered_at`, scope (session/agent id), `acked`, and the `message`. Lead with the `unacked` count. Honor `"unacked"` input by querying `?unacked=true`. ### 3. What tripped — per alert For each fired alert, parse `details` and explain in plain terms: e.g. *"session X crossed 12,500,000 tokens (threshold 12,500,000) ≈ $50.12 at current rates — your `token_threshold` budget rule fired."* Tie the observed value back to the rule's config. ### 4. Next steps Suggest acknowledging stale alerts (`POST /api/alerts/:id/ack` or `/api/alerts/ack-all`), tightening or loosening a threshold, or arming a missing budget rule (point to the `budget-set` skill). ## Output Markdown tables. Currency as USD to 4 decimal places; token counts with thousands separators. Make the link between each fired alert and the rule that produced it explicit — never report a raw alert without saying which rule tripped and why.
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