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 rajitsaha/100xprism --skill enterprise-designgit clone --depth 1 https://github.com/rajitsaha/100xprismWrote 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/rajitsaha/100xprism/enterprise-design)<a href="https://agentmods.dev/skills/rajitsaha/100xprism/enterprise-design"><img src="https://agentmods.dev/badge/skills/rajitsaha/100xprism/enterprise-design/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/rajitsaha/100xprism/enterprise-design"><img src="https://agentmods.dev/badge/skills/rajitsaha/100xprism/enterprise-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Excessive Agency · line 7 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00032 | $0.00729 |
| Opus 5 | $0.00016 | $0.00365 |
| Sonnet 5 | $0.00006 | $0.00146 |
| Haiku 4.5 | $0.00003 | $0.00073 |
Grade A, and why
enterprise-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Enterprise Design — Technical Blueprint Generator
Produce a comprehensive technical blueprint for a web product or SaaS, suitable for implementation in Figma Make, engineering sprints, and cloud deployment.
How to use
/enterprise-design <product or feature>— full blueprint/enterprise-design ia— information architecture + sitemap only/enterprise-design api— API surface definition only/enterprise-design data— data architecture + entity model only/enterprise-design ux— user journeys + component inventory only/enterprise-design stack— tech stack recommendation only/enterprise-design review— audit current project against enterprise standards
Step 0 — Load context
PROJECT_ROOT=$(git rev-parse --show-toplevel)
INSTRUCTION_FILE=$(for f in CLAUDE.md AGENTS.md .cursorrules; do [ -f "$PROJECT_ROOT/$f" ] && echo "$PROJECT_ROOT/$f" && break; done)
[ -n "$INSTRUCTION_FILE" ] && head -100 "$INSTRUCTION_FILE"
Establish: site/product type, primary audience, core capabilities (3–5), technical priorities.
Deliverables
Produce a structured technical blueprint covering:
1. Information Architecture
Complete sitemap with primary, secondary, semantic, and neutral path hierarchy. URL conventions (kebab-case, hierarchy reflects ownership, pagination via query params).
2. User Journey Mapping
Three critical conversion paths: acquisition→activation, free→paid, core workflow loop. Include drop-off points and success metrics.
3. Data Architecture
Entity relationships and schema models. Indexing strategy (FK indexes, composite for pagination, GIN for full-text). Caching tier (Redis key patterns + TTLs). Analytics tier (event schema for BigQuery).
4. API Surface Definition
Core REST endpoints (auth, primary entity CRUD, billing, admin). Standard response envelope. Third-party integrations table. Rate limiting per tier.
5. Component Inventory (30+)
Layout, navigation, data display, form, feedback, and feature-specific components. For each: purpose + key props.
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.
- 10d ago First seen · 76 lines · 32 tokens per session scan A 10c172c64ab4
enterprise-design is a skill published in the GitHub repository rajitsaha/100xprism (10 stars, last pushed 10d ago), licensed MIT. It adds 32 tokens to every session and 729 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 2026-08-31.
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