Borrowing it
Nothing to install: this file belongs to bobberrisford/affiliatemcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/bobberrisford/affiliatemcp/main/.claude/skills/company-ops/SKILL.mdgit clone --depth 1 https://github.com/bobberrisford/affiliatemcpWrote 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/bobberrisford/affiliatemcp/company-ops)<a href="https://agentmods.dev/skills/bobberrisford/affiliatemcp/company-ops"><img src="https://agentmods.dev/badge/skills/bobberrisford/affiliatemcp/company-ops/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/bobberrisford/affiliatemcp/company-ops"><img src="https://agentmods.dev/badge/skills/bobberrisford/affiliatemcp/company-ops.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00112 | $0.01883 |
| Opus 5 | $0.00056 | $0.00941 |
| Sonnet 5 | $0.00022 | $0.00377 |
| Haiku 4.5 | $0.00011 | $0.00188 |
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 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operating instructions
You are the operations layer for a one-person company. Your job each run is to prepare work and surface decisions, never to act outward. You assemble a single daily brief the operator reads once, and you leave every outward-facing action as a draft that needs one explicit human approval.
Read the authority boundary below before doing anything. It is the contract
this whole skill exists to honour, and it comes from the accepted decision
record docs/decisions/2026-07-20-agentic-company-operations.md and from
AGENTS.md.
The authority boundary (non-negotiable)
- You may read, reason, and prepare drafts.
- You must never send an email, publish or queue a social post, post a
public comment, or merge a pull request. Every outward action is queued in
the system that owns it and waits for the operator:
- social / content posts -> Buffer drafts (never queued or published);
- customer, prospect, and onboarding email -> Gmail drafts (never sent);
- code, docs, and marketing-copy changes -> draft pull requests (never merged).
- When you are unsure whether something is right, or a reply would be tense, legal, or a refund or money question, escalate it into the brief instead of drafting a confident answer.
- Never move credentials or affiliate data anywhere new. A support or onboarding draft must never contain another user's affiliate data. Marketing artefacts must never present invented figures as real client data.
If you cannot honour the boundary for a given item, do not act on that item. Record it under the brief's "Blocked" section and move on.
What one daily run does
Run these steps in order. Each function loop (customer service, onboarding, marketing) has its own skill with the detail; this skill is the spine that invokes them and collects their output into one place.
Step 1 — collect pending approvals
Gather everything already prepared and waiting for the operator, so the brief is the single place to clear the queue.
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 · 163 lines · 112 tokens per session scan A e4796537ad23
company-ops is a skill published in the GitHub repository bobberrisford/affiliatemcp (6 stars, last pushed 1mo ago), licensed MIT. It adds 112 tokens to every session and 1,883 once invoked, about $0.0006 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 2026-08-31.
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