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 HybridAIOne/hybridclaw --skill office-workflowsgit clone --depth 1 https://github.com/HybridAIOne/hybridclawWrote 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/hybridaione/hybridclaw/office-workflows)<a href="https://agentmods.dev/skills/hybridaione/hybridclaw/office-workflows"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/office-workflows/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/hybridaione/hybridclaw/office-workflows"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/office-workflows.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 | $0.00027 | $0.00589 |
| Opus 5 | $0.00014 | $0.00295 |
| Sonnet 5 | $0.00005 | $0.00118 |
| Haiku 4.5 | $0.00003 | $0.00059 |
Grade A, and why
office-workflows 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 11d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Office Workflows
Use this skill when the task spans multiple office formats or involves both analysis and polished deliverables.
Fresh Outputs By Default
- When the user asks for a new deliverable from a folder of source files, build it fresh from the primary inputs named by the task.
- Do not inspect or reuse older generated artifacts in that folder such as dashboards, summary files, helper scripts, or prior reports unless the user explicitly asks to update them or use them as templates.
Recommended Patterns
- CSV/TSV -> XLSX:
Run
node skills/xlsx/scripts/import_delimited.cjs input.csv output.xlsx --json, validate the workbook, then polish the structure with thexlsxskill. - XLSX -> PPTX summary:
Use
delegateinchainmode. Step 1: inspect the workbook and extract the few metrics or charts that matter. Step 2: build the deck with thepptxskill. Step 3: check whethersoffice/libreofficeandpdftoppmexist:sh -lc 'command -v soffice >/dev/null 2>&1 || command -v libreoffice >/dev/null 2>&1'sh -lc 'command -v pdftoppm >/dev/null 2>&1'Step 4: only if both checks succeed, run the PPTX render-and-review loop on thumbnails until there are no concrete slide-level issues left. Otherwise skip that QA path silently unless the user explicitly asked for QA, export, thumbnails, validation, or render verification. - XLSX -> DOCX memo:
Analyze the workbook first, then draft the memo in Markdown and convert with
pandocor generate/edit a DOCX directly.
Delegation Guidance
- Use
parallelmode for independent research branches, such as "analyze workbook tabs" and "inspect brand template assets". - Use
chainmode when later outputs depend on prior findings. - Keep each delegated prompt explicit about file paths, expected output, and whether the subagent should modify files or only return findings.
Templates
- Prefer user-supplied templates from current-turn attachments or mounted workspace paths.
- For branded deliverables, inspect the template first, then preserve its structure while swapping in updated data and copy.
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.
- 11d ago First seen · 53 lines · 27 tokens per session scan A 95dce7208bf3
office-workflows is a skill published in the GitHub repository HybridAIOne/hybridclaw (132 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 589 once invoked, about $0.0001 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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