Borrowing it
Nothing to install: this file belongs to grojof/ai-workspace-generator. 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/grojof/ai-workspace-generator/main/.claude/skills/aiws-configure-workspace/SKILL.mdgit clone --depth 1 https://github.com/grojof/ai-workspace-generatorWrote 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/grojof/ai-workspace-generator/aiws-configure-workspace)<a href="https://agentmods.dev/skills/grojof/ai-workspace-generator/aiws-configure-workspace"><img src="https://agentmods.dev/badge/skills/grojof/ai-workspace-generator/aiws-configure-workspace/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/grojof/ai-workspace-generator/aiws-configure-workspace"><img src="https://agentmods.dev/badge/skills/grojof/ai-workspace-generator/aiws-configure-workspace.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 | $0.00057 | $0.01065 |
| Opus 5 | $0.00028 | $0.00532 |
| Sonnet 5 | $0.00011 | $0.00213 |
| Haiku 4.5 | $0.00006 | $0.00106 |
Grade A, and why
aiws-configure-workspace 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Configure this AI workspace (guided)
Help the user produce a correct, explained workspace.config.yaml and skill set — for an existing repo
(analyze → propose) or a new one (describe → ask). Propose-and-review: never write or move files
without explicit approval.
1. Analyze
- Run
ai-workspace detect --jsonfor a deterministic stack seed (languages/frameworks/environments). - Read the repo to enrich it: manifests, folder layout, existing docs/configs. Note anything the detector missed. If nothing is detected and it's a new project, ask targeted questions instead of guessing.
2. Propose
- Draft a candidate
workspace.config.yaml(project, profile, stack, sdd, language, targets…). Validate every module id against the registry (ai-workspace list); for a gap, propose either adding a module or discovering a pack with thefind-skillsskill — and say why. - Profile is the user's choice — never infer it.
profile.userType(technical | business) andprofile.experience(beginner | standard | advanced) set the governance posture. Detection seeds the stack only; it does NOT tell you the user type. Ask both explicitly; do not assume "technical" because code was detected.
Option guide (what each means, and the why — explain before you ask)
- targets — which AI tools to wire:
claude(CLAUDE.md + skills + .mcp.json),copilot(.github/*, also Visual Studio),codex(AGENTS.md as instructions + .codex/config.toml). Why: only generate for tools the user actually uses. - profile.userType —
technical(code/devops/data/infra) vsbusiness(process/docs/analysis). Why: tunes how much architecture/testing/security depth the AI applies. - profile.experience —
beginner(clear guidance, safe paths) ·standard(balance) ·advanced(trade-offs, more autonomy). Why: tunes verbosity and how many decisions are surfaced. - project.mode —
new(use current stable versions) vsexisting(conserve versions; upgrade only on assessment). Why: governs the versioning posture and the Safety gate. - project.purpose —
build(normal) vslearn(tutor mode). Why: adds learner skills/explanations. - stack — languages / frameworks / environments (+ versions). Why: drives per-layer rules and VS Code recs.
- sdd.enabled / backend / methodology — SDD on/off; artifacts in
files(recommended),hybrid(+ memory), ornone;sddvsspdd. Why: where specs live and how much process for non-trivial changes. - workflow.hooks.safetyGuard —
warn|block|offfor risky-command hook (Claude). Why: hardens the Safety gate without changing the AGENTS.md rule. - vscode — generate
.vscode/recs; setfalsefor Visual Studio / non-VS-Code. mcp (context7) — up-to-date library docs. company — org overlay (nonefor personal). language — human-facing docs language (AI files stay English). - Produce a conflict report: existing paths/docs that would collide with generated structure, plus an
optional folder-alignment plan. Multi-repo: if the workspace spans several repos, propose a top-level
repos:list (each with itspathand optionalstack); a single repo needs norepos.
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 · 61 lines · 57 tokens per session scan A 47ebbd605848
aiws-configure-workspace is a skill published in the GitHub repository grojof/ai-workspace-generator (2 stars, last pushed 4d ago), licensed Apache-2.0. It adds 57 tokens to every session and 1,065 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 2026-08-31.
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