Borrowing it
Nothing to install: this file belongs to asasugar/SuperSpec. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/asasugar/SuperSpec/master/.cursor/commands/ss-lint.mdgit 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-lint)<a href="https://agentmods.dev/commands/asasugar/superspec/ss-lint"><img src="https://agentmods.dev/badge/commands/asasugar/superspec/ss-lint/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/asasugar/superspec/ss-lint"><img src="https://agentmods.dev/badge/commands/asasugar/superspec/ss-lint.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 | $0.00089 |
| Opus 5.5 | $0.00004 | $0.00036 |
| Sonnet 5.5 | $0.00002 | $0.00018 |
| Haiku 4.5 | $0.00001 | $0.00009 |
Grade A, and why
/ss-lint 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
Guardrails
- Target: < 300 lines per artifact
- Hard limit: 400 lines
Steps
- Run
superspec lint [name] - If exceeds limit, split into smaller artifacts
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 · 16 lines · 9 tokens per session scan A 6bf099689e3a
/ss-lint is a command published in the GitHub repository asasugar/SuperSpec (18 stars, last pushed 7mo ago), licensed MIT. It adds 9 tokens to every session and 89 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 2026-08-30.
Other commands, from other repositories
CHANGELOG
All notable changes to the @mstar-harness/commands package are documented in this file.
feature-00c-resume
Retoma execucao feature-00c pausada por bloqueio humano ou schedule entre ondas. Valida hash (FR-014 + FR-PRE-004), aplica resposta a bloqueios, delega proxima onda ao agente-00c-feature-orchestrator.
amazing-e2e-check
Run explicitly requested E2E, browser, device, or installed-deployment scenarios in an independent verification workflow.
OPSX: Continue
Continue working on a change - create the next artifact (Experimental).
reverse-spec
A command for reverse specification: examining an existing project and producing documentation that describes its behavior and design.
implement-tasks
A task implementation command that carries out the tasks in a project plan. For code, it can use TDD, a process of writing a failing test before the code that makes it pass; documents and configuration are implemented directly.