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SKILL verified MIT Self-run

Cost Report

skill-onlyterp-hermes-optimization-guide-cost-report · by OnlyTerp

Weekly LLM cost breakdown by provider / gateway / skill, posted to private DM

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Install

$ agentstack add skill-onlyterp-hermes-optimization-guide-cost-report

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

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About

cost-report — LLM Cost Breakdown

Generate a human-readable (or machine-readable) cost report from Hermes' usage logs.

Procedure

  1. Export logs. Run:

``bash hermes logs export --since ${WINDOW} --format jsonl --output /tmp/hermes-logs.jsonl ``

  1. Parse and aggregate. Using DuckDB (preferred) or jq + awk:

```bash duckdb -c " CREATE TABLE logs AS SELECT * FROM readjsonauto('/tmp/hermes-logs.jsonl');

-- By provider SELECT provider, SUM(costusd) AS cost, SUM(tokensin) AS tokin, SUM(tokensout) AS tok_out, COUNT(*) AS calls FROM logs GROUP BY 1 ORDER BY 2 DESC; " ```

  1. Produce four tables:

A. By provider `` Provider Cost($) Tokens-in Tokens-out Calls anthropic 18.44 2.1M 380K 412 openai 6.20 1.2M 220K 187 cerebras 0.45 890K 140K 523 ``

B. By gateway `` Gateway Cost($) % of total telegram 14.22 56% cli 8.10 32% discord 2.77 11% cron 0.50 2% ``

C. By active skill `` Skill Cost($) Calls Avg-cost claude-code 9.40 22 $0.43 lightrag-query 4.11 189 $0.02 pr-review 3.20 8 $0.40 weekly-dep-audit 1.25 1 $1.25 ``

D. Daily trend (simple ASCII sparkline) `` Mon ▂ Tue ▃ Wed ▅█ ← weekly-dep-audit ran Thu ▃ Fri ▄ Sat ▂ Sun ▁ Total: $25.53 ``

  1. Flag anomalies. Use a 3x median-absolute-deviation rule on daily spend. Note any days or skills that exceed the threshold:

> ⚠ Wed spent $9.80, 4.5x typical. Driven by weekly-dep-audit.

  1. Recommend savings. Pattern-match the data:
  • Any single skill > 30% of weekly cost → suggest a cheaper model for that skill
  • Input tokens > 10x output tokens on any provider → suggest prompt caching
  • Repeated Claude skills/SOUL prefixes without cache hits → enable v0.14 1-hour prefix caching
  • Gemini calls without google/gemini-3.1-flash on classification-ish intents → suggest routing
  • Grok 4.3 / GPT-5.5 / Opus calls in cron or triage lanes → require explicit opt-in routing
  1. Deliver. Post to private notification channel. Attach the raw JSON if format is json.

Cron wiring

- name: weekly-cost-report
  schedule: "0 9 * * 1"
  task: /cost-report window=7d format=markdown
  notify: telegram_private

See also

  • [Part 20: Observability & Cost](../../../part20-observability.md)
  • [cost-routing playbook](../../../part20-observability.md#cost-routing-playbook-the-one-that-actually-saves-money)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.