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 agentmods add skills/lbk-open/super-spec/ss-plannpx skills add lbk-open/super-spec --skill ss-plangit clone --depth 1 https://github.com/lbk-open/super-specWrote 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/lbk-open/super-spec/ss-plan)<a href="https://agentmods.dev/skills/lbk-open/super-spec/ss-plan"><img src="https://agentmods.dev/badge/skills/lbk-open/super-spec/ss-plan.svg" alt="Measured on agentmods" 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 | $0.00082 | $0.07099 |
| Opus 5 | $0.00041 | $0.03549 |
| Sonnet 5 | $0.00016 | $0.01420 |
| Haiku 4.5 | $0.00008 | $0.00710 |
Grade A, and why
ss-plan 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 4d 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 — 605 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build Execution Plan
Decompose a requirement or technical proposal into an executable, task-level implementation plan. Each task must be small enough for a single agent to complete independently, with explicit dependencies, exact file paths, and verification criteria.
Language of the plan: write the plan's prose in the same language as the input document (or the project's existing docs, if that's a clearer signal); default to English when neither gives a signal. Code, commands, and file paths always stay in their original form regardless of prose language.
Zero-context assumption: write the plan as if the executor has zero knowledge of the codebase and limited design taste. Every task must be fully self-contained — the executor should never need to "figure out" what to do. If a step changes code, show the code. If a step runs a command, show the command and its expected output.
Inputs
One of:
- A link to a requirement or proposal document that your document-reading tool can fetch.
- A local Markdown file path.
- Plain text describing the requirement directly.
If the input is missing or too thin to extract a goal, scope, and acceptance criteria, ask the user rather than guessing.
Iron Rules
Violating any of these means stop and start over:
- Comprehend before planning — do not start decomposing until the entire input is read and understood. Skipping this voids the plan.
- Never guess — if the input is ambiguous or missing information, ask the user. Do not assume and continue.
- No placeholders — see "No Placeholders" below for the full list of forbidden patterns.
- Every task must be independently verifiable, and acceptance traces to the spec — each task ends with a concrete acceptance command and expected output. When Phase 0 produced delta specs, the acceptance MUST cover a named Scenario from that delta (the Scenario is the single source of truth for expected behavior) — do not author parallel, independent acceptance prose that restates the Scenario.
- Exact file paths — every referenced file is a real path from the project root. No vague descriptions.
- TDD-driven — code tasks have test steps before implementation steps.
- DRY / YAGNI — do not plan features that weren't requested; do not add abstraction layers for hypothetical future needs.
- Self-contained tasks — each task produces a change that makes sense on its own, and the project still compiles/runs after it. Never write "similar to Task N" — repeat the code, since executors may work tasks out of order.
- Plan the full scope, no unauthorized reduction — the plan must cover every requirement point in the input. Never defer work to "phase 2 / a later iteration / future enhancement," plan only an "MVP / P0 / core" subset, or quietly downgrade a requirement. Splitting the plan (see Scope Check) changes delivery packaging, not scope — every sub-plan still gets written. If the full scope can't be planned, stop and ask the user. The only valid reduction is one the user explicitly requested — record it in the plan header's "User-Confirmed Scope Adjustments" section, which downstream review also reads.
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.
- 4d ago First seen · 605 lines · 82 tokens per session scan A 6b6f050b48a7
ss-plan is a skill published in the GitHub repository lbk-open/super-spec (1 stars, last pushed 13d ago), licensed Apache-2.0. It adds 82 tokens to every session and 7,099 once invoked, about $0.0004 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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