Borrowing it
Nothing to install: this file belongs to patr-cloud/patr. 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/patr-cloud/patr/develop/.claude/skills/scope-feature-coverage/SKILL.mdgit clone --depth 1 https://github.com/patr-cloud/patrWrote 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/patr-cloud/patr/scope-feature-coverage)<a href="https://agentmods.dev/skills/patr-cloud/patr/scope-feature-coverage"><img src="https://agentmods.dev/badge/skills/patr-cloud/patr/scope-feature-coverage/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/patr-cloud/patr/scope-feature-coverage"><img src="https://agentmods.dev/badge/skills/patr-cloud/patr/scope-feature-coverage.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 | $0.00037 | $0.00727 |
| Opus 5.5 | $0.00015 | $0.00291 |
| Sonnet 5.5 | $0.00007 | $0.00145 |
| Haiku 4.5 | $0.00004 | $0.00073 |
Grade A, and why
scope-feature-coverage 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 3d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 3d ago First seen · 49 lines · 37 tokens per session scan A e8ba81167d36
scope-feature-coverage is a skill published in the GitHub repository patr-cloud/patr (11 stars, last pushed yesterday), with no licence file. It adds 37 tokens to every session and 727 once invoked, about $0.0001 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 2026-10-26.
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…
google-tasks-skill
Create, list, and complete Google Tasks. Supports task lists, due dates, and notes.
task-manager
Coordinate durable team tasks by assigning connected teammates, reviewing results, and accepting, retrying, reassigning, or cancelling work.
subagent-orchestration
Coordinate connected subagents through durable Task Manager assignments, bounded parallel execution, review, retry, reassignment, and acceptance.
ai-fleet-project-execution
AI fleet project execution (orchestrator=PM, marketing agent, backend dev agent, video agent). Fast-iteration architecture pivots and inter-agent task delegation across multi-hour sessions. Use when a user assigns a multi-agent project with "take it as a team" instruction.
kaneo-cli
Work with Kaneo tasks, projects, comments and time tracking through the kaneo CLI. Use when the user asks to list, create, update, assign or close Kaneo tasks, see what is assigned to them, comment, log time, or script against a Kaneo workspace on Kaneo Cloud or a self-hosted instance.