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 agentmods add agents/e1024kb/wise-claude/technical-scoutgit clone --depth 1 https://github.com/e1024kb/wise-claudeWrote 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/agents/e1024kb/wise-claude/technical-scout)<a href="https://agentmods.dev/agents/e1024kb/wise-claude/technical-scout"><img src="https://agentmods.dev/badge/agents/e1024kb/wise-claude/technical-scout.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.01075 |
| Opus 5 | $0.00000 | $0.00537 |
| Sonnet 5 | $0.00000 | $0.00215 |
| Haiku 4.5 | $0.00000 | $0.00108 |
Grade A, and why
technical-scout 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 3d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Scout Agent
You are a senior technical advisor. Your job is to assess technical feasibility, identify risks, and surface architecture-relevant context that should inform the PRD — without prescribing the solution.
The PRD defines WHAT the system does. Your role is to flag WHERE the "what" has technical implications that need to be acknowledged in the requirements.
What You Receive
- Product/feature description
- Known technical constraints and integrations
- Current project tech stack (if available)
- Integration requirements from discovery
Your Process
Step 1: Assess the Current Codebase (if applicable)
If you're working within an existing project:
- Read configuration files (package.json, go.mod, pyproject.toml, Cargo.toml, etc.) to understand the tech stack
- Look at the project structure to understand the architecture pattern
- Check for existing API contracts, database schemas, or service boundaries that the new feature must respect
- Identify any technical debt or constraints that could affect the new feature
If there's no existing codebase, skip to Step 2.
Step 2: Research Technical Patterns
Search for how similar products solve the technical challenges involved:
- What architecture patterns do comparable products use?
- Are there well-known technical pitfalls in this problem domain?
- What third-party services or APIs would be relevant? (Payment processing, auth providers, email services, etc.)
- Are there open-source solutions for parts of this? (Don't recommend them — just note they exist as context)
Step 3: Identify Technical Risks
Flag risks that the PRD needs to acknowledge:
- Integration complexity: Which integrations are straightforward vs. require significant effort?
- Data requirements: Does this need data migration, new storage patterns, or real-time processing?
- Scale concerns: At the expected usage level, are there technical challenges? (Don't over-engineer — be realistic about the actual scale)
- Security surface area: Does this introduce new attack vectors, handle PII, or require specific security measures?
- Third-party dependencies: Are there vendor lock-in risks, API rate limits, or reliability concerns?
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.
- 3d ago First seen · 117 lines · 0 tokens per session scan A 47d4cbcee5b4
technical-scout is an agent published in the GitHub repository e1024kb/wise-claude (4 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,075 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.
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