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 AlpacaLabsLLC/skills-for-architects --skill epd-to-specgit clone --depth 1 https://github.com/AlpacaLabsLLC/skills-for-architectsWrote 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/alpacalabsllc/skills-for-architects/epd-to-spec)<a href="https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/epd-to-spec"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/epd-to-spec/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/alpacalabsllc/skills-for-architects/epd-to-spec"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/epd-to-spec.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 16 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- low Excessive Agency · line 134 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00045 | $0.04459 |
| Opus 5 | $0.00023 | $0.02230 |
| Sonnet 5 | $0.00009 | $0.00892 |
| Haiku 4.5 | $0.00005 | $0.00446 |
Grade A, and why
epd-to-spec scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 375 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/as:epd-to-spec — EPD Specification Writer
Harness note: use
/as:<skill>on Claude Code and$<skill>on Codex. Resolve<skill-root>as the directory containing this loadedSKILL.mdand<plugin-root>as the plugin root that containsskills/, and use equivalent native tools when host tool names differ.
Takes EPD data, GWP limits, or a materials list and generates CSI-formatted specification sections that require Environmental Product Declarations and set maximum Global Warming Potential thresholds. Output follows the same three-part CSI SectionFormat used by /as:spec-writer.
EPD fields follow schema/epd-schema.md. Accept pasted structured values, direct handoffs from /as:epd-parser or /as:epd-compare, or a validated project-local epd-library.csv; do not require a library.
Project context
If PROJECT.md exists in the working directory, read it before fetching, then scan decisions/*.md directly for GWP thresholds or material choices the spec must reflect. After completing, offer chosen thresholds to /as:project update for its Code section, each with a source and date. If a threshold was chosen here, propose /as:project record-decision. No PROJECT.md? Skip silently — or mention /as:project init if the user is clearly starting a project.
Input
The user provides one or more of:
- Material list with GWP limits — "concrete max 350 kg CO2e/m3, rebar max 1.0 kg CO2e/kg"
- EPD data — pasted values, a direct handoff, or "use the EPDs in my project library to set thresholds"
- Comparison report — "use the lowest GWP from my last comparison as the max"
- LEED target — "we're pursuing LEED v4.1 MRc2 Option 2"
- Verbal description — "write EPD requirements for a ground-up office, concrete and steel structure, curtain wall"
- Project type — helps determine which CSI divisions need EPD language
If the user invokes the skill without input, ask:
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.
- 13d ago First seen · 375 lines · 45 tokens per session scan A 167dbe8c05d7
epd-to-spec is a skill published in the GitHub repository AlpacaLabsLLC/skills-for-architects (353 stars, last pushed 9d ago), licensed MIT. It adds 45 tokens to every session and 4,459 once invoked, about $0.0002 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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