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.
npx skills add jamesgray-ai/handsonai-plugins --skill writing-vision-briefsgit clone --depth 1 https://github.com/jamesgray-ai/handsonai-pluginsWrote 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/jamesgray-ai/handsonai-plugins/writing-vision-briefs)<a href="https://agentmods.dev/skills/jamesgray-ai/handsonai-plugins/writing-vision-briefs"><img src="https://agentmods.dev/badge/skills/jamesgray-ai/handsonai-plugins/writing-vision-briefs/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/jamesgray-ai/handsonai-plugins/writing-vision-briefs"><img src="https://agentmods.dev/badge/skills/jamesgray-ai/handsonai-plugins/writing-vision-briefs.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 | $0.00054 | $0.04170 |
| Opus 5.5 | $0.00022 | $0.01668 |
| Sonnet 5.5 | $0.00011 | $0.00834 |
| Haiku 4.5 | $0.00005 | $0.00417 |
Grade A, and why
writing-vision-briefs 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 387 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vision Brief Workflow
Guide the user through capturing a fuzzy idea as a structured Vision Brief — a business-focused artifact that clarifies what they want to build and why, before diving into technical specs.
When to Use This Skill
- User has an early-stage idea that isn't ready for a PRD yet
- User says things like "I have an idea," "I'm thinking about," "what if we," or "I want to explore"
- User needs help articulating what they want to build in plain language
- User wants to validate an idea before committing to a full spec
Workflow Overview
| Phase | Goal |
|---|---|
| 1. Discover | Ask questions one at a time to understand the idea |
| 2. Refine | Present the draft Vision Brief, iterate until solid |
| 2.5 Evaluate | Go/no-go decision gate — assess and recommend next action |
| 3. Scope | Assess the size — is this one feature or multiple? Break it down |
| 4. Handoff | Save everything and guide the user to their first feature PRD |
Phase 1: Discover
Ask the user questions one at a time. Use multiple-choice options when possible to reduce cognitive load. Wait for each answer before asking the next question.
Question sequence
Question 1 — The Problem:
"What's the pain point or missed opportunity you're trying to address? In a sentence or two, what frustrates you (or your users) today?"
Follow-up probe — Quantify the problem:
"Can you put rough numbers on it? How often does this happen, how many people are affected, what does it cost in time or money?"
If they can't quantify, that's fine — note it in the brief as a validation signal (e.g., "Impact not yet quantified — consider validating before building"). Don't push hard, but do flag it.
Question 2 — Who Feels It:
"Who specifically experiences this problem? What's their role or situation?"
Offer multiple-choice options based on common user types if the context suggests them. For example:
- (a) End users / customers
- (b) Internal team members
- (c) Administrators / managers
- (d) Someone else — describe them
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago Changed · -1 lines 6cf1b123a29f
- 2mo ago First seen · 388 lines · 54 tokens per session scan A 3d6299455e4a
writing-vision-briefs is a skill published in the GitHub repository jamesgray-ai/handsonai-plugins (8 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 4,170 once invoked, about $0.0002 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 2026-08-31.
writing-vision-briefs compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| writing-vision-briefsjamesgray-ai/handsonai-plugins | Skill | 8 | yesterday | MIT | A | 54 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |