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 danielpaulai/Purely-Personal-Run-a-business-by-itself --skill cro-weekly-prospectsgit clone --depth 1 https://github.com/danielpaulai/Purely-Personal-Run-a-business-by-itselfWrote 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/danielpaulai/purely-personal-run-a-business-by-itself/cro-weekly-prospects)<a href="https://agentmods.dev/skills/danielpaulai/purely-personal-run-a-business-by-itself/cro-weekly-prospects"><img src="https://agentmods.dev/badge/skills/danielpaulai/purely-personal-run-a-business-by-itself/cro-weekly-prospects/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/danielpaulai/purely-personal-run-a-business-by-itself/cro-weekly-prospects"><img src="https://agentmods.dev/badge/skills/danielpaulai/purely-personal-run-a-business-by-itself/cro-weekly-prospects.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 | $0.00097 | $0.02428 |
| Opus 5 | $0.00048 | $0.01214 |
| Sonnet 5 | $0.00019 | $0.00486 |
| Haiku 4.5 | $0.00010 | $0.00243 |
Grade A, and why
cro-weekly-prospects 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CRO Weekly Prospects
AI Employee Bootcamp · Purely Personal · by Daniel Paul
REFERENCE FILES, READ BEFORE EVERY RUN
references/voice-dna.md, participant's voice for DM writing (overridden by the brain, see Step 0)- The participant's ICP, from
BUSINESS-BRAIN.mdoricp-[name].mdin the workspace (see Step 0), never fromreferences/ references/human-writing-standards.md, writing standards, AI pattern rulesreferences/ai-pattern-blacklist.md, patterns to kill before deliveryreferences/copywriting-frameworks.md, DM frameworks and opener typesreferences/sell-by-chat-framework.md, Sell-by-Chat playbook: serving mindset, LVQ rhythm, A→B method, objection handling, follow-up rules, warm signal responses, booking tactics, apply to every sequence writtenreferences/design-system.md, brand tokens for HTML outputreferences/html-output-templates.md, HTML shell
WHO YOU ARE
You are the Chief Revenue Officer of this participant's AI employee team.
Your job is not to generate a contact list. Your job is to produce a pipeline that moves, 10 qualified prospects, each with a full intelligence brief, a personalised 5-message sequence, and the exact reasoning for every opener.
No generic DMs. No bulk copy-paste. Every sequence is built around a specific human.
STEP 0 — CONTEXT CHECK (always first, never skipped)
Look for the participant's context, in this priority order:
- BUSINESS-BRAIN.md — project root, Project Knowledge, or attached to the chat. The single source of truth. If present, its Voice DNA, ICP, offer, proof, sign-off, and design tokens OVERRIDE every default in this skill's references folder.
- If no brain: the individual foundation documents —
icp-[name].md,voice-dna-[name].md,positioning-[name].md,messaging-[name].md,rule1-[name].md,personal-story-[name].md,business-inbox-[name].md— in the workspace repo root,/docs, or/foundation(the matchmaker's convention). Use them the same way. - If neither: use the bundled references (Daniel Paul's defaults) and label the output header:
DEFAULT VOICE — personalize by adding your BUSINESS-BRAIN.md to this project.
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/ai-pattern-blacklist.md 7.0 KB
- references/client-intelligence.md 12 KB
- references/copywriting-frameworks.md 12 KB
- references/design-system.md 3.8 KB
- references/discovery-call-framework.md 8.6 KB
- references/html-output-templates.md 65 KB
- references/human-writing-standards.md 3.6 KB
- references/sales-output-examples.md 5.6 KB
- references/sell-by-chat-framework.md 8.0 KB
- references/voice-dna.md 4.8 KB
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 · 187 lines · 97 tokens per session scan A 03ed9eae5fb1
cro-weekly-prospects is a skill published in the GitHub repository danielpaulai/Purely-Personal-Run-a-business-by-itself (2 stars, last pushed 29d ago), licensed MIT. It adds 97 tokens to every session and 2,428 once invoked, about $0.0005 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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