Borrowing it
Nothing to install: this file belongs to truman-t3/industrial-design-portfolio-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/truman-t3/industrial-design-portfolio-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/truman-t3/industrial-design-portfolio-skillWrote 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/instructions/truman-t3/industrial-design-portfolio-skill/agents-md)<a href="https://agentmods.dev/instructions/truman-t3/industrial-design-portfolio-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/truman-t3/industrial-design-portfolio-skill/agents-md/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/instructions/truman-t3/industrial-design-portfolio-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/truman-t3/industrial-design-portfolio-skill/agents-md.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 | $0.02600 | $0.02600 |
| Opus 5 | $0.01300 | $0.01300 |
| Sonnet 5 | $0.00520 | $0.00520 |
| Haiku 4.5 | $0.00260 | $0.00260 |
Grade A, and why
industrial-design-portfolio-skill AGENTS.md 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 11d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- industrial-design-portfolio-skill GEMINI.md — 98% identical, 4 lines differ
- industrial-design-portfolio-skill CLAUDE.md — 97% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Industrial Design Portfolio (Agent-neutral adapter)
Generated from
SKILL.md. Use the native Skill package when supported. Do not edit this file directly.
Industrial Design Portfolio
Build a portfolio that proves design judgment, not merely visual taste. Treat every page as part of an evidence chain from problem to decision to result.
Cross-agent runtime contract
Use SKILL.md as the canonical instruction source. Do not assume a specific vendor, model, tool name, shell, home directory, or interactive-question API.
At activation, detect capabilities rather than platform branding:
- If an interactive question tool exists, use it only for decisions that materially change the portfolio; otherwise ask in plain chat.
- If file tools exist, copy and edit the bundled template with native read/write/patch operations.
- If shell execution exists, run the validator with an available Python 3 command.
- If browser or computer-use tools exist, visually preview the deck; otherwise complete structural validation and state that visual preview remains pending.
- If image generation exists, use it only under
references/image-policy.md; otherwise preserve image slots and continue with supplied assets or placeholders. - If web access exists, verify time-sensitive market, material, manufacturing, patent, and cost claims; otherwise label them unverified.
- If a capability is unavailable, continue with the highest-value safe subset instead of failing the whole workflow.
Resolve bundled paths relative to the directory containing this SKILL.md. Never rely on $CLAUDE_PLUGIN_ROOT, $CODEX_HOME, or another platform-specific variable during portfolio creation. Read references/platform-compatibility.md when installing, packaging, debugging discovery, or choosing fallbacks.
Operating contract
- Preserve user-provided facts, images, measurements, brands, and authorship.
- Never invent interviews, test participants, dimensions, costs, patents, CAD validation, manufacturing feasibility, or project outcomes.
- Mark unverified content as
Assumption,Concept estimate, orTo validate. - Mark AI-generated imagery visibly as
AI-assisted concept visualization; never present it as a prototype, CAD model, test record, or production evidence. - Separate design intent from engineering proof. A generated exploded image is explanatory artwork, not a manufacturable drawing.
- Prefer one clear decision per page. Remove decorative content that does not support the case.
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.
- 11d ago First seen · 239 lines · 2,600 tokens per session scan A b55b3b82831d
industrial-design-portfolio-skill AGENTS.md is an instructions file published in the GitHub repository truman-t3/industrial-design-portfolio-skill (3 stars, last pushed 26d ago), licensed MIT. It adds 2,600 tokens to every session, about $0.0130 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.
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AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
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spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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vscode oss-third-party-notices.instructions.md
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