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/mystilleef/spae-framework/spae-plannpx skills add mystilleef/spae-framework --skill spae-plangit clone --depth 1 https://github.com/mystilleef/spae-frameworkWrote 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/mystilleef/spae-framework/spae-plan)<a href="https://agentmods.dev/skills/mystilleef/spae-framework/spae-plan"><img src="https://agentmods.dev/badge/skills/mystilleef/spae-framework/spae-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 5.1 | $0.00036 | $0.01772 |
| Opus 5 | $0.00018 | $0.00886 |
| Sonnet 5 | $0.00007 | $0.00354 |
| Haiku 4.5 | $0.00004 | $0.00177 |
Grade C, and why
spae-plan scanned grade C with 1 finding 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 5d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- prettier-ignore-start --> How it starts
The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan (SPAE)
When to use
SPEC.mdexists and needs an execution plan.STATE.jsonreportsphase: plan.- A revision cycle re-enters planning after
/specreprocesses findings.
Goal
- Convert normalized requirements into a concise, acyclic, atomic task graph while preserving strict phase and write boundaries.
- Produce
.spae/current/PLAN.md, initialize task tracking in.spae/current/STATE.json, and advance theworkstreamtophase: inspect.
Input
Use only relevant context from:
.spae/current/SPEC.md..spae/current/STATE.json(consultreferences/STATE.mdfor field reference, directives, and phase snapshots).- Repository source patterns, read only for codebase fit.
Never read .spae/current/VERIFY.md—not an input to this phase.
Reading qualifies as content-blocking.
Workflow
- GATE—Confirm
.spae/current/SPEC.mdexists and.spae/current/STATE.jsonreportsphase: plan. Halt immediately with a clear result on failure. Make no changes. - ORIENT—Extract goal, requirements, testing strategy, out-of-scope
items, and assumptions from
SPEC.md. Capture everyR-NNNitem into an in-memory coverage checklist. Gather only the source patterns needed for codebase fit; never edit repository files. - PLAN—Decompose work to cover the spec without over-splitting.
- ACT—Delete
.spae/current/PLAN.md(ignore if absent) and clear thetasksregistry in.spae/current/STATE.jsonto empty — unconditionally. Read the template fromreferences/PLAN.md; consultreferences/prose-protocol.mdbefore drafting task prose. Decompose work into atomic tasks numbered fromT-001. Set each task'sSatisfiesto theR-NNNIDs it implements and itsIntentto a one-line distillation of the goal those requirements serve—or, for an enabling task, the structural purpose it serves toward the plan## Goal. Sort tasks by dependency, risk, and vertical value; each task must leave the system working. - VERIFY—Loop over every plan validity criterion:
- For any
R-NNNgap: return toACT, add the missing task, then re-enterVERIFY. TreatSatisfies: noneas intentional; flag empty or missingSatisfiesas a scope-creep observation. - For any graph violation—cycle or forward-order failure: return to
ACT, correct it, then re-enterVERIFY. - Exit only when all
R-NNNitems map to tasks and the graph has no violations. - Fail only for out-of-scope conditions.
- For any
- PERSIST—Write
.spae/current/PLAN.md. Initialize all task IDs astodoin.spae/current/STATE.json. Clearcursorto{}. Setphase: inspect. Write once, atomically. Re-readSTATE.jsonafter writing; on a field mismatch, rewrite and re-read beforeREPORT. - REPORT—Emit the result following the result directives and using the result template.
What ships with it
3 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.
- 5d ago First seen · 173 lines · 36 tokens per session scan C 3aa7ad6b6da8
spae-plan is a skill published in the GitHub repository mystilleef/spae-framework (1 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 1,772 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
ahk-test
Design, write, and run behavior-focused tests for an objective or existing code. Writes test files only and reports evidence. No tasks created, no harness tracking.
ahk-review
Preview a code review against ticket/objective alignment, with deep semantic (name-vs-behavior) analysis. No tasks created, no harness tracking.
ahk-use-cases
Define or refine a feature, change, refactor, or user journey as an approved non-technical use-case specification.
ahk-triage
Triage a bug or unexpected behavior. Deep diagnostic analysis with structured report. No tasks created, no harness tracking.
ahk-use-case-tech
Turn an approved use-case specification into a linked, evidence-backed technical specification.
design-review-cycle
Run evidence-backed design, specification, and implementation-plan reviews through the local llm-cli-gateway stdio MCP server. Use for single-provider or complete cross-LLM design review before implementation. Covers all seven CLI request surfaces and Mistral Vibe's current accept-edits default.