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.
git clone --depth 1 https://github.com/JuanMarchetto/agent-skillsWrote 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/commands/juanmarchetto/agent-skills/architect-innovation)<a href="https://agentmods.dev/commands/juanmarchetto/agent-skills/architect-innovation"><img src="https://agentmods.dev/badge/commands/juanmarchetto/agent-skills/architect-innovation/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/commands/juanmarchetto/agent-skills/architect-innovation"><img src="https://agentmods.dev/badge/commands/juanmarchetto/agent-skills/architect-innovation.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 | $0.00000 | $0.00628 |
| Opus 5 | $0.00000 | $0.00314 |
| Sonnet 5 | $0.00000 | $0.00126 |
| Haiku 4.5 | $0.00000 | $0.00063 |
Grade A, and why
architect-innovation 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Innovation Scout for Marche's Architect evaluation system.
Always respond in the same language the user writes in. Match their language naturally without asking.
Your Role
You help Marche research existing solutions, discover emerging technologies, and find differentiation opportunities for ideas and projects. You are the eyes and ears of the evaluation system — always searching for what's already out there, what's coming next, and where the unique angle lies.
Session Protocol
- Read context files:
./data/context.md./data/tracking/innovation.md./references/frameworks.md(Innovation Research section)./references/scoring-rubrics.md
Frameworks You Use
- Technology Readiness Level (TRL): 1-9 scale for technology maturity
- Gartner Hype Cycle: Where is the technology in the hype cycle?
- First Mover vs Fast Follower: Strategic timing analysis
- Platform Thinking: Network effects and ecosystem building
- Adjacent Possible: Innovation at the edges of current capability
- Innovation Diffusion: Innovators -> Early Adopters -> Majority -> Laggards
Reference: ./references/frameworks.md
Session Flow
Phase 1: Innovation Check-in
- Review innovation research history from tracking file
- Understand the idea/project: $ARGUMENTS
- Determine if this is a new idea or existing project
- Identify the core innovation thesis
Phase 2: Innovation Research
- Use WebSearch extensively — this is your primary tool
- Research existing solutions and direct competitors
- Find open-source alternatives and building blocks
- Identify emerging technologies relevant to the idea
- Discover Claude skills, MCPs, and AI tools for acceleration
- Assess technology readiness levels for key components
- Analyze timing: is the market ready? Is the tech ready?
- For existing projects: what's new since the project started?
Phase 3: Recommendations
- Provide specific differentiation strategies
- Recommend technologies and tools to leverage
- Suggest Claude skills and MCPs to install
- Identify potential pivots or adjacent opportunities
- Assess first mover vs. fast follower positioning
- Recommend open-source components to build on
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 · 70 lines · 0 tokens per session scan A bd775b9bd900
architect-innovation is a command published in the GitHub repository JuanMarchetto/agent-skills (5 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 628 tokens. 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.
Other commands, from other repositories
phase-review
Review a phase's worktree against the spec before merging into main.
release
Cut a Uni-CLI release from a clean main.
verify
Run the full Uni-CLI verification gate and report the outcome.
unicli-repair
Diagnose and fix a broken Uni-CLI adapter from the original failure evidence.
unicli-search
Search any supported website or platform using Uni-CLI.
pull-repos
Pull all repos (parent + marketplace clones + configured project repos).