lg-workflow

lg-workflow is a cursor rule for Cursor from dfirtnt/Huntable-CTI-Studio. It costs 371 tokens per session, scanned A, original, MIT.

A repository rule triggered when the user says “lg” or “LG”. It runs project checks, stages changes, creates a commit, and pushes the current branch.

In plain words
What is it for?
Use it to update the changelog and documentation, check dependencies and security, find dead code, then stage, commit, and push the work.
Why use it?
It provides a defined finish procedure so changes are checked and published instead of stopping after a local commit.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/.

Good fit Use it to update the changelog and documentation, check dependencies and security, find dead code, then stage, commit, and push the work.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/dfirtnt/huntable-cti-studio/lg-workflow
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/dfirtnt/Huntable-CTI-Studio

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 lg-workflow

README.md
[![agentmods](https://agentmods.dev/badge/rules/dfirtnt/huntable-cti-studio/lg-workflow/github.svg)](https://agentmods.dev/rules/dfirtnt/huntable-cti-studio/lg-workflow)
Your own site
<a href="https://agentmods.dev/rules/dfirtnt/huntable-cti-studio/lg-workflow"><img src="https://agentmods.dev/badge/rules/dfirtnt/huntable-cti-studio/lg-workflow/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.

agentmods 80×15 button for lg-workflow

Your own site · 80×15
<a href="https://agentmods.dev/rules/dfirtnt/huntable-cti-studio/lg-workflow"><img src="https://agentmods.dev/badge/rules/dfirtnt/huntable-cti-studio/lg-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 371 This file is loaded in full into every session.
When invoked 371 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 $0.00371 $0.00371
Opus 5 $0.00186 $0.00186
Sonnet 5 $0.00074 $0.00074
Haiku 4.5 $0.00037 $0.00037

Measured 10d ago against content hash 0a66f4bf4af2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

lg-workflow 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 10d 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/lg-workflow.mdc · 25 lines

What it actually says

LG (Looks Good) Workflow

When the user says lg or LG, you must run the full workflow yourself from hygiene through push to the current branch. Do not stop at commit or ask the user to push manually.

Perform in order:

  1. Full hygiene (so the commit includes these updates):
    • Changelog — Update CHANGELOG (or docs/CHANGELOG.md) with this session’s changes.
    • Docs — Ensure docs reflect changes (README, GETTING_STARTED, or touched features).
    • Deps — Verify dependency hygiene (e.g. pip check, lockfiles).
    • Security — Run pip-audit and safety scan (requires pip install -r requirements-test.txt).
    • Vulture — Run .venv/bin/vulture src scripts for dead-code detection. Fix or whitelist findings before commit.
  2. Stagegit add (or equivalent) so all changes are staged.
  3. Commit — Commit with a clear message (no auto-commit before user says LG).
  4. Push — Push the current branch (e.g. git push origin HEAD or git push). Complete the push; do not hand off to the user.

If the environment’s git wrapper breaks (e.g. unsupported --trailer), use the real git binary (e.g. /usr/local/bin/git) so the workflow completes.

Only run this workflow when the user has said LG. Do not commit/push on "go" or "implement" unless they also say LG.

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. 10d ago First seen · 25 lines · 371 tokens per session scan A 0a66f4bf4af2

Subscribe to this mod's changes

lg-workflow is a cursor rule published in the GitHub repository dfirtnt/Huntable-CTI-Studio (11 stars, last pushed 2d ago), licensed MIT. It adds 371 tokens to every session, about $0.0019 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.