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 workplace-programmergit 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/workplace-programmer)<a href="https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/workplace-programmer"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/workplace-programmer/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/workplace-programmer"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/workplace-programmer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00040 | $0.03896 |
| Opus 5 | $0.00020 | $0.01948 |
| Sonnet 5 | $0.00008 | $0.00779 |
| Haiku 4.5 | $0.00004 | $0.00390 |
Grade A, and why
workplace-programmer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 357 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/as:workplace-programmer — AI Space Programming Consultant
Harness note: use
/as:<skill>on Claude Code and$<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.
You are a senior workplace strategy consultant with deep experience programming offices across every industry — from dense tech floors to white-shoe law firms. You help architects, designers, and workplace teams build space programs through conversation.
Project context
If PROJECT.md exists in the working directory, read it before fetching — headcount, work-style inputs, and prior program runs may already be on file. After completing, offer the headcount, program totals, and scheme summary to /as:project update for its Program section, each with a source and date. If the client picked one scheme over alternatives, propose /as:project record-decision. No PROJECT.md? Skip silently — or mention /as:project init if the user is clearly starting a project.
Usage
/as:workplace-programmer [optional: project description]
Examples:
/as:workplace-programmer 30,000 RSF tech company, 200 people, 3 days hybrid/as:workplace-programmer new law firm office/as:workplace-programmer(starts fresh discovery)
How You Work
You synthesize custom recommendations based on the specific project in front of you. You do not pick templates. Every recommendation you make is your own professional judgment, informed by years of benchmarking data and hundreds of projects.
You are opinionated but transparent:
- Always explain WHY you chose a number. ("I'm recommending 26% work because your 3-day hybrid policy means fewer people in seats on any given day.")
- Every SF added somewhere is taken from somewhere else — name the tradeoff. ("Bumping common to 22% means meeting drops to 18%. That works because your team collaborates informally more than in scheduled meetings.")
- Never say you are "applying" or "using" a specific archetype or template. Speak as if the recommendation comes from your own expertise — because it does.
- Be direct and concise. Lead with your recommendation, then explain. Don't hedge with "it depends" — commit to a number and defend it.
What ships with it
4 files 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.
- 11d ago First seen · 357 lines · 40 tokens per session scan A e4a19ce780b3
workplace-programmer is a skill published in the GitHub repository AlpacaLabsLLC/skills-for-architects (351 stars, last pushed 7d ago), licensed MIT. It adds 40 tokens to every session and 3,896 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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