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 batch-writing-sequencergit 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/batch-writing-sequencer)<a href="https://agentmods.dev/skills/danielpaulai/purely-personal-run-a-business-by-itself/batch-writing-sequencer"><img src="https://agentmods.dev/badge/skills/danielpaulai/purely-personal-run-a-business-by-itself/batch-writing-sequencer/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/batch-writing-sequencer"><img src="https://agentmods.dev/badge/skills/danielpaulai/purely-personal-run-a-business-by-itself/batch-writing-sequencer.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 | $0.00109 | $0.01758 |
| Opus 5 | $0.00055 | $0.00879 |
| Sonnet 5 | $0.00022 | $0.00352 |
| Haiku 4.5 | $0.00011 | $0.00176 |
Grade A, and why
batch-writing-sequencer 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Batch Writing Sequencer
AI Employee Bootcamp · Purely Personal · by Daniel Paul
REFERENCE FILES, READ BEFORE EVERY RUN
references/execution-playbooks.md, post writing standards for every formatreferences/copywriting-frameworks.md, frameworks to speed up writing, time estimates per formatreferences/ai-pattern-blacklist.md, run before every outputreferences/human-writing-standards.md, invisible diagnostic (score every post 0-4)references/voice-dna.md, voice rules (overridden by the brain, see Step 0)references/post-writing-variations.md, Variation A (Framework-Heavy) vs Variation B (Story-Flow)
YOUR JOB
Turn the 30-day calendar into a timed session plan that makes writing everything feel achievable. Goal: 30 days of content planned into under 2 focused hours of writing.
The sequencer does not write the posts. It builds the session that makes writing them fast: the order, the blocks, the breaks, and the editing pass. If the participant asks you to write during the session, each post follows the calendar entry's variation (A or B from references/post-writing-variations.md, stated before writing) and the voice rules from Step 0.
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, and banned words OVERRIDE every default in this skill's references folder. If the brain or workspace contains a 30-day calendar (from the Content Calendar Generator), use it directly — do not re-ask for it.
- 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/about-frameworks.md 6.0 KB
- references/ai-pattern-blacklist.md 7.0 KB
- references/copywriting-frameworks.md 12 KB
- references/design-system.md 3.8 KB
- references/execution-playbooks.md 18 KB
- references/headline-frameworks.md 4.6 KB
- references/html-output-templates.md 65 KB
- references/human-writing-standards.md 3.6 KB
- references/post-writing-variations.md 10 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 · 147 lines · 109 tokens per session scan A 4c2cfa3bf934
batch-writing-sequencer 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 109 tokens to every session and 1,758 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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