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 commands/asasugar/superspec/ss-checklistgit clone --depth 1 https://github.com/asasugar/SuperSpecWrote 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/asasugar/superspec/ss-checklist)<a href="https://agentmods.dev/commands/asasugar/superspec/ss-checklist"><img src="https://agentmods.dev/badge/commands/asasugar/superspec/ss-checklist.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 | $0.00018 | $0.00221 |
| Opus 5 | $0.00009 | $0.00111 |
| Sonnet 5 | $0.00004 | $0.00044 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
/ss-checklist 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 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.
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
Guardrails
- Available in both Standard and Boost modes
- Auto-invoked during
/ss-createflow; can also be called manually at any time
Steps
- Read all existing artifacts (proposal.md, spec.md, etc.)
- Read
{specDir}/templates/checklist.mdas structural reference - Determine mode: Standard → use Standard checks (score / 10); Boost → use Boost checks (score / 25)
- If checklist.md doesn't exist → directly generate it (with real evaluation results)
- If checklist.md already exists → read and update evaluation results
- Verify each checklist item, mark pass/fail
- Fail → report failing items, suggest fixes
- Pass → prompt to run /ss-tasks (or /ss-apply)
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 · 22 lines · 0 tokens per session scan A 195c8b389f9f
/ss-checklist is a command published in the GitHub repository asasugar/SuperSpec (15 stars, last pushed 5mo ago), licensed MIT. It adds 18 tokens to every session and 221 once invoked, about $0.0001 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.
Other commands, from other repositories
OPSX: Explore
Enter explore mode - think through ideas, investigate problems, clarify requirements.
OPSX: Propose
Propose a new change - create it and generate all artifacts in one step.
OPSX: Sync
Sync delta specs from a change to main specs.
OPSX: Apply
Implement tasks from an OpenSpec change (Experimental).
iteration-loop
Autonomous full iteration loop for cloud agents — Phase 1 (code-first auto direction lock + compass/plans + Review & Edit chain) through Phase 2–5 (execute → close → PR → merge-ready). Optional args: direction, scale (S|M|L|XL, default M). Not Done until Phase 5 exit checklist passes. Minimal human intervention; no…
OPSX: Continue
Continue working on a change - create the next artifact (Experimental).