with one click
cost-report
// Weekly LLM cost breakdown by provider / gateway / skill, posted to private DM
// Weekly LLM cost breakdown by provider / gateway / skill, posted to private DM
Delegate a PR review to Claude Code with a scoped read-only GitHub PAT
Classify inbound Telegram DMs, autoreply low-stakes, escalate high-stakes to you
Classify incoming messages from public channels as spam / prompt-injection-attempt / genuine; quarantine risky ones
Audit dependencies across configured repos for security advisories, open triage issues
Prepare a 1-page brief for an upcoming meeting by combining calendar context, recent threads with attendees, and relevant docs
Sweep inbox (email + Slack + Telegram DMs) and produce a prioritized action list with suggested replies
| name | cost-report |
| description | Weekly LLM cost breakdown by provider / gateway / skill, posted to private DM |
| when_to_use | ["Scheduled weekly","User asks \"how much am I spending?\"","After a noticeable cost spike"] |
| toolsets | ["terminal","file"] |
| parameters | {"window":{"type":"string","default":"7d"},"format":{"type":"string","enum":["markdown","json","csv"],"default":"markdown"}} |
Generate a human-readable (or machine-readable) cost report from Hermes' usage logs.
Export logs. Run:
hermes logs export --since ${WINDOW} --format jsonl --output /tmp/hermes-logs.jsonl
Parse and aggregate. Using DuckDB (preferred) or jq + awk:
duckdb -c "
CREATE TABLE logs AS SELECT * FROM read_json_auto('/tmp/hermes-logs.jsonl');
-- By provider
SELECT provider,
SUM(cost_usd) AS cost,
SUM(tokens_in) AS tok_in,
SUM(tokens_out) AS tok_out,
COUNT(*) AS calls
FROM logs
GROUP BY 1
ORDER BY 2 DESC;
"
Produce four tables:
A. By provider
Provider Cost($) 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
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.
Recommend savings. Pattern-match the data:
google/gemini-3.1-flash on classification-ish intents → suggest routingDeliver. Post to private notification channel. Attach the raw JSON if format is json.
- name: weekly-cost-report
schedule: "0 9 * * 1"
task: /cost-report window=7d format=markdown
notify: telegram_private