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 attilaszasz/sdd-pilot --skill plan-authoringgit clone --depth 1 https://github.com/attilaszasz/sdd-pilotWrote 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/attilaszasz/sdd-pilot/plan-authoring)<a href="https://agentmods.dev/skills/attilaszasz/sdd-pilot/plan-authoring"><img src="https://agentmods.dev/badge/skills/attilaszasz/sdd-pilot/plan-authoring/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/attilaszasz/sdd-pilot/plan-authoring"><img src="https://agentmods.dev/badge/skills/attilaszasz/sdd-pilot/plan-authoring.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 | $0.00041 | $0.03142 |
| Opus 5 | $0.00020 | $0.01571 |
| Sonnet 5 | $0.00008 | $0.00628 |
| Haiku 4.5 | $0.00004 | $0.00314 |
Grade A, and why
plan-authoring 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 6d 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 — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan Authoring Guide
Agent-First Format Rule
Every plan.md section MUST use tables, key-value pairs, or tagged lists as primary format. Prose is limited to the Summary section (max 3 key-value lines). The primary consumer is an AI agent — optimize for parseability over readability.
Plan Writing Process
Phase 0: Research
HAS_TECH_CONTEXT_DOC = true→ read as baseline; pre-fill Technical Context values, require only confirmation.- Extract unknowns (anything marked NEEDS CLARIFICATION) → research task per unknown.
- Consolidate in
research.mdusing structured format below. Merge by topic, rewrite full file. - Budget: ≤4KB. Existing >3KB → consolidate before adding.
research.md Format
Prohibited: code blocks, implementation snippets, comparison tables, narrative paragraphs, duplicate summary sections.
Per-topic: 4 structured fields, max 2 sources. Global budget: ≤4KB.
Consolidation: merge overlapping topics, normalize names, remove stale details.
Structure:
# Research: [Feature Name]
> Feature | Date | Purpose
## [Topic N]
- **Decision**: [what was chosen]
- **Rationale**: [why — max 1 sentence]
- **Rejected**: [alternatives and why — max 1 sentence]
- **Pitfalls**: [anti-patterns to avoid — max 1 sentence]
- **Sources**: [URL1], [URL2]
## Summary
| Topic | Decision | Rationale |
|-------|----------|-----------|
## Sources Index
| URL | Topic | Fetched |
|-----|-------|---------|
Phase 1: Design & Contracts
Prerequisites: research.md complete
Items 1–2 are conditional — auto-detect signals from spec; fall back to interactive prompt when ambiguous.
- Data Model →
data-model.md(conditional):- Generate when: non-empty "Key Entities", terms
database/storage/persist/CRUD/entity/etc., orStorage≠N/A - Skip → replace Data Model Summary table with
N/A — no persistent data - Include: entity names, fields, relationships, validation rules, state transitions
- Populate
## Data Model Summarytable inplan.mdwith entity overview
- Generate when: non-empty "Key Entities", terms
What ships with it
1 file 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.
- 6d ago First seen · 229 lines · 41 tokens per session scan A 77b8af35ffa1
plan-authoring is a skill published in the GitHub repository attilaszasz/sdd-pilot (95 stars, last pushed 4d ago), licensed MIT. It adds 41 tokens to every session and 3,142 once invoked, about $0.0002 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 2026-09-03.
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