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/timothywarner-org/claude-architectWrote 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/timothywarner-org/claude-architect/talent-scan)<a href="https://agentmods.dev/commands/timothywarner-org/claude-architect/talent-scan"><img src="https://agentmods.dev/badge/commands/timothywarner-org/claude-architect/talent-scan/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/timothywarner-org/claude-architect/talent-scan"><img src="https://agentmods.dev/badge/commands/timothywarner-org/claude-architect/talent-scan.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 | $0.00016 | $0.00121 |
| Opus 5 | $0.00008 | $0.00060 |
| Sonnet 5 | $0.00003 | $0.00024 |
| Haiku 4.5 | $0.00002 | $0.00012 |
Grade A, and why
talent-scan 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 9d 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.
This is a copy
100% identical to talent-scan — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Use the recruiter subagent to perform a talent market scan for: $ARGUMENTS
Analyze and report on:
- Talent availability in target markets
- Competitive salary ranges
- Required skills and experience levels
- Estimated time to hire
- Recommended sourcing channels
- Top candidate profiles (if using GitHub)
Provide specific recommendations on:
- Senior vs. junior hiring mix
- Remote vs. in-office strategy
- Compensation packages
- Interview process optimizations
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.
- 9d ago First seen · 20 lines · 16 tokens per session scan A cd1dbf8b1457
talent-scan is a command published in the GitHub repository timothywarner-org/claude-architect (81 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 121 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to talent-scan, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
explore
Command "explore" from aderegil/claude-certified-architect, covering context: fork and allowed-tools: read, grep, glob.
review
Review the file at $ARGUMENTS for code quality issues.
refactor-clean
You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its quality, maintainability, and performance.
deps-audit
Audit project dependencies for vulnerabilities, outdated packages, license conflicts, and supply chain risks — then provide actionable remediation strategies.
export-closedloop-learnings
Exports pending ClosedLoop learnings to global location with deduplication.
spreadsheet-audit
Perform a 6-step audit of an Excel spreadsheet for formula correctness, formatting consistency, data integrity, boss-auditable simplicity, and spec compliance. Uses the excel-screenshot MCP server tools — no Excel installation required.