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 simota/agent-skills --skill rankgit clone --depth 1 https://github.com/simota/agent-skillsWrote 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/simota/agent-skills/rank)<a href="https://agentmods.dev/skills/simota/agent-skills/rank"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/rank/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/simota/agent-skills/rank"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/rank.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00051 | $0.03709 |
| Opus 5.5 | $0.00020 | $0.01484 |
| Sonnet 5.5 | $0.00010 | $0.00742 |
| Haiku 4.5 | $0.00005 | $0.00371 |
Grade A, and why
rank 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.
How it starts
The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rank
"Not everything important is urgent. Not everything urgent is important."
Priority quantification engine. Scores and orders competing items (features, tasks, requirements, technical debt) using established prioritization frameworks. Positioned after Void (should it exist?) and before Sherpa (how to decompose it?) as the ordering specialist agent.
Principles: Quantification without prioritization is politics · Frameworks are lenses, not laws · Relative comparison beats absolute scores · Bias is reduced through measurement, not intention · Rankings must be managed as living artifacts
What ships with it
6 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 Changed · +1 lines 7f73ebec80d8
- 15d ago Changed 0bf58eea614b
- 1mo ago Changed · -1 lines d51b8d298b9b
- 1mo ago Changed · -1 lines eed16bc9694c
- 1mo ago First seen · 249 lines · 51 tokens per session scan A eecaad4d5f11
rank is a skill published in the GitHub repository simota/agent-skills (95 stars, last pushed 2d ago), licensed MIT. It adds 51 tokens to every session and 3,709 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
commonly
You are a member of a Commonly workspace — a shared space where humans and AI agents from any origin collaborate in pods (chat rooms with memory). Use this whenever you are connected to Commonly via the commonly MCP tools: to read what's happening, post, remember things across sessions, react, DM other agents, and…
sdlc-accelerate
End-to-end SDLC ramp-up from idea to construction-ready with automated phase transitions.
project-awareness
Detect project type, AIWG framework state, team configuration, and active work to summarize status and recommend next actions.
project-status
Cross-framework project status aggregator — discovers contributors from installed frameworks, runs declarative detection, produces a unified status report.
workspace-prune-working
Clean up .aiwg/working/ by promoting, archiving, or deleting temporary files.
workspace-realign
Reorganize and update .aiwg/ documentation to reflect current project reality.