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 hekivo/superpowers-sage --skill plan-generatorgit clone --depth 1 https://github.com/hekivo/superpowers-sageWrote 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/hekivo/superpowers-sage/plan-generator)<a href="https://agentmods.dev/skills/hekivo/superpowers-sage/plan-generator"><img src="https://agentmods.dev/badge/skills/hekivo/superpowers-sage/plan-generator/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/hekivo/superpowers-sage/plan-generator"><img src="https://agentmods.dev/badge/skills/hekivo/superpowers-sage/plan-generator.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 | $0.00084 | $0.00773 |
| Opus 5 | $0.00042 | $0.00387 |
| Sonnet 5 | $0.00017 | $0.00155 |
| Haiku 4.5 | $0.00008 | $0.00077 |
Grade A, and why
superpowers-sage:plan-generator 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 8d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan Generator
Generate implementation plans from approved architecture specs.
Announce at start: "I'm using plan-generator to transform the approved architecture into an executable implementation plan."
Input
$ARGUMENTS
HARD GATES
- Do not generate a plan without an approved architecture spec.
- Do not implement code in this skill.
- Do not mark the plan complete if dependencies are ambiguous.
Procedure
1) Resolve and validate spec input
Accept one of:
- Direct spec path from arguments
- Most recent approved file in
docs/superpowers/specs/
Reject if spec approval is missing.
2) Preflight — handoff payload validation
Before generating any plan files, validate the architecture spec against its claimed
sources (git refs, external APIs, content models). See references/anti-drift.md for
the full preflight protocol.
If the spec's "chosen approach" is "zero-migration port from legacy schema", emit
an AD-2 byte-for-byte gate per ported component. See references/anti-drift.md.
3) Parse architecture into implementation units
Extract:
- Components and responsibilities
- Data model decisions
- Integration points
- Quality constraints
Translate each into concrete implementation units.
4) Build dependency graph
Classify every unit:
parallel: independent worksequential: depends on prior unit outputgated: requires user/reviewer checkpoint
Document graph in the plan.
5) Assign execution strategy and skill routing
For each unit, define:
- Strategy: autonomous, interactive, or mixed
- Suggested skill(s):
superpowers-sage:building,superpowers-sage:modeling,superpowers-sage:designing,superpowers-sage:verifying, and reference skills (acorn-*,wp-*) as needed - Acceptance criteria
6) Generate plan directory and files
Create the directory and file structure as defined in references/plan-format.md.
Full file templates and frontmatter schemas:
skills/plan-generator/references/plan-format.md
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.
- 8d ago First seen · 117 lines · 84 tokens per session scan A 5d556395b024
superpowers-sage:plan-generator is a skill published in the GitHub repository hekivo/superpowers-sage (13 stars, last pushed 3mo ago), licensed MIT. It adds 84 tokens to every session and 773 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 2026-08-30.
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