FlowGuard: Skill for Codex

.agents/skills/flowguard-ui-flow-structure/SKILL.md

flowguard-ui-flow-structure is a skill for Codex from liuyingxuvka/FlowGuard. It costs 26 tokens per session (684 once invoked), scanned A, original, MIT.

A set of rules for deciding what a user interface should show, how it should behave, and how its visible flows can be proven to work. A user interface is the screens, controls, text, and feedback people use to operate software.

In plain words
What is it for?
Use it to review or design UI surfaces, journeys, controls, text hierarchy, feedback, transitions, and runnable evidence of behavior.
Why use it?
It helps catch missing states, unclear tasks, inaccessible controls, and recovery gaps before treating a design as complete. It separates what users may see from internal information.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is liuyingxuvka/FlowGuard's own configuration. It tells Codex how to work on FlowGuard itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything FlowGuard configures →

Reuse

Borrowing it

Nothing to install: this file belongs to liuyingxuvka/FlowGuard. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/liuyingxuvka/FlowGuard/main/.agents/skills/flowguard-ui-flow-structure/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/liuyingxuvka/FlowGuard

Made for: Codex.

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 flowguard-ui-flow-structure

README.md
[![agentmods](https://agentmods.dev/badge/skills/liuyingxuvka/flowguard/flowguard-ui-flow-structure/github.svg)](https://agentmods.dev/skills/liuyingxuvka/flowguard/flowguard-ui-flow-structure)
Your own site
<a href="https://agentmods.dev/skills/liuyingxuvka/flowguard/flowguard-ui-flow-structure"><img src="https://agentmods.dev/badge/skills/liuyingxuvka/flowguard/flowguard-ui-flow-structure/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 flowguard-ui-flow-structure

Your own site · 80×15
<a href="https://agentmods.dev/skills/liuyingxuvka/flowguard/flowguard-ui-flow-structure"><img src="https://agentmods.dev/badge/skills/liuyingxuvka/flowguard/flowguard-ui-flow-structure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 684 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00026 $0.00684
Opus 5 $0.00013 $0.00342
Sonnet 5 $0.00005 $0.00137
Haiku 4.5 $0.00003 $0.00068

Measured 9d ago against content hash 21d3dc269711, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

flowguard-ui-flow-structure 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 9d 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.

.agents/skills/flowguard-ui-flow-structure/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FlowGuard UI Flow Structure

Purpose

Admit content, model UI event x state, and prove runnable visible surfaces.

Entrypoint Scope

This standalone FlowGuard satellite skill owns ui_flow_structure (public_owner) UI admission/evidence, not styling or code structure.

Local Material Routing

Read references/ui_flow_structure_protocol.md for surface, journey, structure, text hierarchy, operability, evidence, and geometry.

Entrypoint Acceptance Map

Accept admission, UI state/task/control coverage, and current evidence; block leaks, blindspots, or stale proof.

Use When

  • Use for UI content, controls, tasks, runnable evidence, hierarchy, or product language.

Do Not Use When

  • Do not style first, invent roles, or treat observation as permission; return non-UI work to flowguard.

Required Workflow

  1. Declare greenfield, source_based, or mixed; observation never grants display permission.
  2. Classify only user_visible, user_on_demand, or internal; require task/state/recovery need and model journey, structure, text, and operability.
  3. For product claims compare canonical typography, components, navigation, feedback, recovery, and transitions. Reuse existing business ids and keep them internal.
  4. For complete coverage, freeze surface-inventory revision/fingerprint/discovery evidence and each visible item's stable id/content fingerprint before mapping.
  5. Give every visible control, display, transition, overlay, recovery path, and blindspot exactly one modeled or scoped disposition; a visible item cannot be both modeled and scoped.
  6. Bind claims to inventory, screenshot/DOM/event/result evidence, click chains, blindspots, and tests.

Hard Gates

  • Model-purpose gate: pre-build/change freeze task-specific failure(s)/boundary; bind candidate to native good/bad-per-failure/oracle/current evidence. Reusable types are not fixed-purpose: no mode/fallback; only FlowGuard-declared checks may support completion claims.
  • Require the real FlowGuard check engine and AGENTS.md managed record; forbid fake mini-frameworks.
  • Unclassified/internal content cannot render; do not add audience/role/persona categories.
  • On-demand stays hidden until an accessible task-owned reveal/return; hover has keyboard/focus parity.
  • Every reachable enabled action needs control -> event -> owner -> function -> UI update -> evidence, pure-UI disposition, or blindspot.
  • Missing inventory/item fingerprints, discovery evidence, unmapped visible items, and conflicting modeled/blindspot dispositions block complete UI coverage.
  • Repeated surfaces for one intent reuse its commitment, path, and semantic grammar. Presentation exceptions never change intent, path, visibility, or result.
  • Runnable UI needs current source/recovery/freshness evidence; design alone cannot prove it.
  • Only explicit reuse/publication or proven cross-project use triggers strict risk_template_library closure.
  • Planning context becomes UI behavior only through explicit behavior-source admission.

Read the full file on GitHub · 52 lines

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. 9d ago First seen · 52 lines · 26 tokens per session scan A 21d3dc269711

Subscribe to this mod's changes

flowguard-ui-flow-structure is a skill published in the GitHub repository liuyingxuvka/FlowGuard (2 stars, last pushed 13d ago), licensed MIT. It adds 26 tokens to every session and 684 once invoked, about $0.0001 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 2026-08-31.