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 DDS-Solutions/AI-TadPole-OS --skill plan-writinggit clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OSWrote 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/dds-solutions/ai-tadpole-os/plan-writing)<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/plan-writing"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/plan-writing/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/dds-solutions/ai-tadpole-os/plan-writing"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/plan-writing.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 | $0.00031 | $0.01070 |
| Opus 5.5 | $0.00012 | $0.00428 |
| Sonnet 5.5 | $0.00006 | $0.00214 |
| Haiku 4.5 | $0.00003 | $0.00107 |
Grade A, and why
plan-writing 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Agent Skills Registry / plan-writing
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Monolithic unbounded plans, omitted verification commands, or unscoped blast radius.
- Observability: Traceability via
execution/parity_guard.py([SKILL])
Structured Plan Writing Protocol
Purpose: Convert complex architectural requirements into actionable, atomic tasks with concrete, measurable verification gates.
Workflow Bindings: Integrated into/plan,/create, and/refactor.
🎯 Progressive Disclosure & L3 Reference Index
Read the core Sovereign rules below; consult deep L3 Reference Guides on demand:
| L3 Reference Guide | Purpose | Trigger / When to Load |
|---|---|---|
references/implementation_plan_templates.md |
Feature blueprints, expand-contract slicing guides, verification checklists | Drafting architectural implementation plans |
scripts/plan_linter.py |
Automated plan linter verifying goals, task atomicity, and verification commands | Validating plan markdown structure before execution |
📐 1. Task Breakdown Principles
- Keep It Short: Aim for 5–10 clear, focused tasks maximum per plan.
- Be Specific: Specify exact file paths, line ranges, and function names (e.g.
src/services/agent_service.ts). - Atomic Verification: Every single task must include an explicit verification step (
➔ Verify: npm test). - Slicing Strategy:
- Feature Work: Vertical tracer bullets (schema ➔ backend route ➔ frontend state ➔ UI).
- Wide Refactors: Expand-Contract slicing (Expand new ➔ Migrate callers ➔ Contract old).
What ships with it
2 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.
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 Changed · +37 lines 63f01a186fba
- 1mo ago First seen · 58 lines · 31 tokens per session scan A f42757261c86
plan-writing is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 1,070 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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