balise-trustworthy-flows

balise-trustworthy-flows is a skill for Claude Code, Codex from mrstev3n/balise-skills. It costs 65 tokens per session (3,311 once invoked), scanned A, original, Apache-2.0.

A Figma review guide for checking high-impact user flows, such as consent, permissions, subscriptions, cancellations, data sharing, and destructive actions. It examines whether people can understand their choices, refuse, leave, revoke access, and recover.

In plain words
What is it for?
Use it to reconstruct and audit selected Figma flows, compare whether choices are presented evenly, and document observable risks. It also helps create clearly labeled alternative designs while preserving the original files and links.
Why use it?
It helps find confusing or unfair choices that may pressure people into actions or make it hard to undo them. The review focuses on the whole decision path, not just one screen’s appearance.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to reconstruct and audit selected Figma flows, compare whether choices are presented evenly, and document observable risks. It also helps create clearly labeled alternative designs while preserving the original files and links.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mrstev3n/balise-skills/balise-trustworthy-flows
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.

Any agent
npx skills add mrstev3n/balise-skills --skill balise-trustworthy-flows
Clone the repo
git clone --depth 1 https://github.com/mrstev3n/balise-skills

Made for: Claude Code, 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 balise-trustworthy-flows

README.md
[![agentmods](https://agentmods.dev/badge/skills/mrstev3n/balise-skills/balise-trustworthy-flows/github.svg)](https://agentmods.dev/skills/mrstev3n/balise-skills/balise-trustworthy-flows)
Your own site
<a href="https://agentmods.dev/skills/mrstev3n/balise-skills/balise-trustworthy-flows"><img src="https://agentmods.dev/badge/skills/mrstev3n/balise-skills/balise-trustworthy-flows/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 balise-trustworthy-flows

Your own site · 80×15
<a href="https://agentmods.dev/skills/mrstev3n/balise-skills/balise-trustworthy-flows"><img src="https://agentmods.dev/badge/skills/mrstev3n/balise-skills/balise-trustworthy-flows.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,311 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00065 $0.03311
Opus 5 $0.00032 $0.01656
Sonnet 5 $0.00013 $0.00662
Haiku 4.5 $0.00006 $0.00331

Measured 12d ago against content hash f02ade38fab9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

balise-trustworthy-flows 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 12d 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.

figma-skills/balise-trustworthy-flows/SKILL.md · 315 lines

How it starts

The opening of the file, as written. The whole thing — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Trustworthy Flows for Figma

Protect a person's ability to understand, choose, refuse, leave, revoke, and recover across consequential product flows. Audit the decision system, not the visual polish of one screen.

Do not call other skills or depend on references, scripts, assets, or files outside this document.

Core rules

  1. Preserve source frames, components, libraries, prototype links, and annotations unless the user explicitly asks to edit them.
  2. Work within the selection and the adjacent path needed to understand entry, commitment, outcome, exit, revocation, and recovery.
  3. Reuse existing components, variants, properties, variables, styles, Auto Layout, tokens, naming, and product language.
  4. Separate observed, prototype-verified, declared, hypothetical, and proposed evidence.
  5. Never infer intent from the interface. Describe the visible mechanism and plausible consequence.
  6. Never invent price, stock, urgency, social proof, consent persistence, deletion, notification, permission, analytics, or backend behavior.
  7. Do not diagnose a person's cognitive bias. State that the presentation may exploit or amplify a known bias.
  8. Do not declare an interface legal, compliant, safe, accessible, or free of manipulation from a Figma file.
  9. Preserve legitimate protective friction. Challenge friction that appears to serve only the product's preferred choice.
  10. Use synthetic data. Never place real personal, financial, health, authentication, research, or client data in test frames.
  11. If entry, commitment, or exit is missing, produce a partial finding and open questions. Never invent a branch.
  12. Route serious legal, privacy, accessibility, financial, child-safety, or coercive-control risks to qualified review.

Infer the mode

  • Audit: reconstruct and report without editing.
  • Compare: compare selected branches, alternatives, or versions against one contract.
  • Repair: create the smallest cooperative correction after explicit edit intent.
  • Design: design a new consequential flow with disclosure, choice, exit, and recovery.
  • Verify: exercise visible prototype paths and report evidence and unknowns without editing.

Read the full file on GitHub · 315 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. 12d ago First seen · 315 lines · 65 tokens per session scan A f02ade38fab9

Subscribe to this mod's changes

balise-trustworthy-flows is a skill published in the GitHub repository mrstev3n/balise-skills (11 stars, last pushed 23d ago), licensed Apache-2.0. It adds 65 tokens to every session and 3,311 once invoked, about $0.0003 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.

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