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 agentmods add skills/saolalab/clawforce/company-opsnpx skills add saolalab/clawforce --skill company-opsgit clone --depth 1 https://github.com/saolalab/clawforceWrote 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/saolalab/clawforce/company-ops)<a href="https://agentmods.dev/skills/saolalab/clawforce/company-ops"><img src="https://agentmods.dev/badge/skills/saolalab/clawforce/company-ops.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00028 | $0.00388 |
| Opus 5 | $0.00014 | $0.00194 |
| Sonnet 5 | $0.00006 | $0.00078 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
company-ops 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 5d 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.
What it actually says
Company Operations
Decision Log
Record every significant decision in .agents/memory/MEMORY.md using this format:
### Decision: {Title}
- **Date**: {YYYY-MM-DD}
- **Context**: {Why this decision was needed}
- **Options considered**: {List alternatives}
- **Decision**: {What was decided}
- **Owner**: {Who executes}
- **Review date**: {When to evaluate}
Status Report Template
Request weekly status from each department lead:
## {Department} Weekly Status — {Date}
### Completed
- (what shipped or was delivered)
### In Progress
- (active workstreams with % complete)
### Blocked
- (issues needing escalation)
### Next Week
- (planned priorities)
Escalation Protocol
- P0 (Critical): Revenue impact or outage → immediate message to all leads
- P1 (High): Missed deadline or blocker → message to owner + their lead
- P2 (Medium): Risk identified → add to next sync agenda
- P3 (Low): Improvement opportunity → log for quarterly review
Meeting Cadences
| Meeting | Frequency | Attendees | Purpose |
|---|---|---|---|
| All-hands | Monthly | Everyone | Alignment, wins, Q&A |
| Leadership sync | Weekly | Department leads | Cross-team coordination |
| 1:1 | Bi-weekly | CEO + each lead | Coaching, blockers |
| Board update | Quarterly | CEO + Board | Strategy, financials |
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.
- 5d ago First seen · 58 lines · 28 tokens per session scan A 25d16ed5c47d
company-ops is a skill published in the GitHub repository saolalab/clawforce (38 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 388 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.
Other skills, from other repositories
agenticmail
🎀 AgenticMail — Full email, SMS, storage & multi-agent coordination for AI agents. 63 tools.
ai-meeting-scheduling
Booking links fail for groups. SkipUp schedules meetings with 2-50 participants via email — one API call coordinates across timezones automatically. Also: check status, pause, resume, or cancel requests. Async only — does not instant-book, access calendars, or do free/busy lookups.
agentic-paper-digest-skill
Fetches and summarizes recent arXiv and Hugging Face papers with Agentic Paper Digest. Use when the user wants a paper digest, a JSON feed of recent papers, or to run the arXiv/HF pipeline.
eachlabs-voice-audio
Text-to-speech, speech-to-text, voice conversion, and audio processing using EachLabs AI models. Supports ElevenLabs TTS, Whisper transcription with diarization, and RVC voice conversion. Use when the user needs TTS, transcription, or voice conversion.
arxiv-summarizer-orchestrator
End-to-end orchestration skill for periodic arXiv collection and reporting using three sub-skills: arxiv-search-collector, arxiv-paper-processor, and arxiv-batch-reporter. Supports manual language control across all markdown outputs and Stage-B processing strategy (subagentparallel default max 5, or serial).
academic-literature-search
这是一个专注于学术文献检索的专业工具，集成了多个权威学术数据库，提供全面、快速、准确的文献检索服务。支持多数据库并发检索、高级过滤、智能排序和多种输出格式。.