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 OneWave-AI/claude-skills --skill cowork-inbox-triagegit clone --depth 1 https://github.com/OneWave-AI/claude-skillsWrote 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/onewave-ai/claude-skills/cowork-inbox-triage)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/cowork-inbox-triage"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/cowork-inbox-triage/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/onewave-ai/claude-skills/cowork-inbox-triage"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/cowork-inbox-triage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 10 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00060 | $0.00743 |
| Opus 5 | $0.00030 | $0.00371 |
| Sonnet 5 | $0.00012 | $0.00149 |
| Haiku 4.5 | $0.00006 | $0.00074 |
Grade A, and why
cowork-inbox-triage scanned grade A with 0 findings 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 12d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cowork Inbox Triage
Work an inbox the way a good chief of staff does: everything gets a disposition, nothing gets sent without approval, and the owner ends the run with a short list of real decisions instead of 80 unread threads. Uses the connected mail tools (Microsoft 365 or Gmail MCP connectors) for reading, labeling, and drafting.
Setup
On first run, learn the owner's voice: read 10-15 sent replies and note greeting style, sign-off, sentence length, and formality. Store the profile in the conversation and reuse it for every draft. Ask once which categories matter (default set below) and what the auto-archive rules are.
Workflow
- Sweep. Pull unread and flagged threads from the last cycle (default: 24 hours). Group by thread, not message.
- Classify every thread into exactly one bucket:
NEEDS DECISION-- only the owner can answer (pricing, commitments, personnel)DRAFT READY-- routine reply Claude can write for approvalWAITING ON THEM-- owner already replied; schedule a follow-up checkFYI-- no response needed; summarize in the digestNOISE-- newsletters, notifications, cold outreach; label/archive per the standing rules
- Draft. For every
DRAFT READYthread, write the reply in the owner's voice as a draft -- never send. Keep drafts shorter than the email being answered. - Follow-ups. For
WAITING ON THEMthreads past their expected response window (default 3 business days), draft a polite bump. For threads with dates in them, propose calendar holds via the calendar write tools. - Digest. Post one summary: decisions needed (with one-line context and a recommended answer each), drafts awaiting approval, follow-ups queued, and a one-line count of what was archived.
Rules
- Never send email. Create drafts only; the human sends.
- Never archive anything that mentions money, contracts, legal matters, or a specific person's problem -- misclassified noise is recoverable, a missed client email is not.
- A recommended answer accompanies every
NEEDS DECISIONitem. Surfacing a question without a recommendation is half the job. - Quote the sender's actual ask in the digest -- do not paraphrase requests into vagueness.
- Respect confidentiality: HR, health, and personal matters get flagged privately, never summarized in a shared channel.
- If the connector lacks write scope, degrade gracefully: produce the digest and paste-ready reply texts instead of drafts.
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.
- 12d ago First seen · 48 lines · 60 tokens per session scan A 4097ed51a2e7
cowork-inbox-triage is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 743 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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