report

report is a cursor rule for Cursor from ApexIQ/skillsmith. It costs 105 tokens per session, scanned A, original, MIT.

A project workflow for producing a report about progress and readiness.

In plain words
What is it for?
Use it to create progress and production-readiness reports for the listed libraries and architecture areas.
Why use it?
It collects the project's current status into a report and includes a validation step.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/.

Good fit Use it to create progress and production-readiness reports for the listed libraries and architecture areas.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/apexiq/skillsmith/report
Install

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.

Clone the repo
git clone --depth 1 https://github.com/ApexIQ/skillsmith

Made for: Cursor.

Wrote 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.

agentmods badge for report

README.md
[![agentmods](https://agentmods.dev/badge/rules/apexiq/skillsmith/report.svg)](https://agentmods.dev/rules/apexiq/skillsmith/report)
Your own site
<a href="https://agentmods.dev/rules/apexiq/skillsmith/report"><img src="https://agentmods.dev/badge/rules/apexiq/skillsmith/report.svg" alt="Measured on agentmods" height="20"></a>
Per session 105 This file is loaded in full into every session.
When invoked 105 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00105 $0.00105
Opus 5 $0.00053 $0.00053
Sonnet 5 $0.00021 $0.00021
Haiku 4.5 $0.00011 $0.00011

Measured 3d ago against content hash 4104997013ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

report 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.

.cursor/rules/workflows/report.mdc · 11 lines

What it actually says

  • Read .agent/workflows/report.md.
  • Goal: generate a progress and readiness report for library click, pytest, arch-business-logic, arch-ui, arch-unknown
  • Skills: notebooklm, loki_mode, javascript_testing_patterns, makepad_skills, git_pr_workflows_git_workflow
  • Follow the workflow steps, then verify with project tests or the closest validation command.
Changes

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.

  1. 3d ago First seen · 11 lines · 105 tokens per session scan A 4104997013ff

Subscribe to this mod's changes

report is a cursor rule published in the GitHub repository ApexIQ/skillsmith (5 stars, last pushed 5mo ago), licensed MIT. It adds 105 tokens to every session, about $0.0005 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 2026-09-03.