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 5.5 | $0.00006 | $0.00048 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 (95 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 5.5. 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.
deps-audit
Audit project dependencies for vulnerabilities, outdated packages, license conflicts, and supply chain risks — then provide actionable remediation strategies.
refactor-clean
Refactor provided code for cleanliness, maintainability, and alignment with SOLID principles and modern best practices — no over-engineering.
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.