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.
git 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/commands/mystilleef/spae-framework/run)<a href="https://agentmods.dev/commands/mystilleef/spae-framework/run"><img src="https://agentmods.dev/badge/commands/mystilleef/spae-framework/run/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/commands/mystilleef/spae-framework/run"><img src="https://agentmods.dev/badge/commands/mystilleef/spae-framework/run.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 | $0.00009 | $0.00245 |
| Opus 5.5 | $0.00004 | $0.00098 |
| Sonnet 5.5 | $0.00002 | $0.00049 |
| Haiku 4.5 | $0.00001 | $0.00024 |
Grade A, and why
run 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 1mo 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.
What it actually says
Act as an orchestrator executing a subagent. Don't perform any preliminary actions (for example, reading files, running commands, summarizing). Invoke immediately.
Input: $ARGUMENTS
Directives:
- Parse: The first word of
$ARGUMENTS(strip any leading@) becomes theagent_name. Everything after the first word, verbatim, becomesinstructions. - Optimize: Refine
instructionsfor token and context efficiency. Strip conversational fluff; use precise, direct language. If the caller provides no instructions, use an empty prompt. - Execute: Call the
Agenttool withsubagent_typeset toagent_nameand the optimizedinstructionsas the prompt. - Present: Always present the raw result from the agent.
- Critical:
STOP!. Perform no further operations.
Rules:
- Present subagent results as-is.
- Never change the
subagent's results unless requested.
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.
- 1mo ago First seen · 29 lines · 9 tokens per session scan A cf49b2892b7e
run is a command published in the GitHub repository mystilleef/spae-framework (2 stars, last pushed yesterday), licensed MIT. It adds 9 tokens to every session and 245 once invoked, about $0.0000 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 2026-08-31.
Other commands, from other repositories
feedback
Review comments on your display.dev artifacts, then apply them, reply, and resolve the threads after you approve.
session-manage
Manage LLM gateway sessions (list, create, delete, switch).
claude-request
Send a prompt to Claude Code via the LLM gateway with session tracking.
wtfp:resume-writing
Restore the latest portable handoff and route the researcher to the next safe action.
wtfp:discuss-section
Capture the researcher's intended purpose, essential content, voice, and boundaries before planning.
wtfp:add-todo
Capture a bounded note or task without disrupting the active research flow.