afc-tech-advisor

afc-tech-advisor is an agent for Claude Code from jhlee0409/all-for-claudecode. It costs 23 tokens per session (1,447 once invoked), scanned A, original, MIT.

A technology-advice agent that remembers decisions about tools and the project's technology stack across sessions.

In plain words
What is it for?
Advising on unfamiliar technology ecosystems, checking project context, reviewing past decisions, and stopping to ask when important information is missing.
Why use it?
It keeps recommendations consistent and helps connect your development goal with suitable tools when you do not know the available options.

Agent for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: model in frontmatter; names the NotebookEdit tool.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the afc plugin — 29 skills, 12 agents, 19 hooks shipped together

Good fit Advising on unfamiliar technology ecosystems, checking project context, reviewing past decisions, and stopping to ask when important information is missing.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add jhlee0409/all-for-claudecode
Claude Code
/plugin install afc

Made for: Claude Code.

Or install afc, the plugin that ships this one along with the rest of its 29 skills, 12 agents, 19 hooks.

Wrote 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.

agentmods badge for afc-tech-advisor

README.md
[![agentmods](https://agentmods.dev/badge/agents/jhlee0409/all-for-claudecode/afc-tech-advisor/github.svg)](https://agentmods.dev/agents/jhlee0409/all-for-claudecode/afc-tech-advisor)
Your own site
<a href="https://agentmods.dev/agents/jhlee0409/all-for-claudecode/afc-tech-advisor"><img src="https://agentmods.dev/badge/agents/jhlee0409/all-for-claudecode/afc-tech-advisor/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.

agentmods 80×15 button for afc-tech-advisor

Your own site · 80×15
<a href="https://agentmods.dev/agents/jhlee0409/all-for-claudecode/afc-tech-advisor"><img src="https://agentmods.dev/badge/agents/jhlee0409/all-for-claudecode/afc-tech-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,447 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00023 $0.01447
Opus 5 $0.00012 $0.00724
Sonnet 5 $0.00005 $0.00289
Haiku 4.5 $0.00002 $0.00145

Measured 9d ago against content hash 1ad165e3c57b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

afc-tech-advisor 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.

agents/afc-tech-advisor.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Senior Tech Advisor consulting for a developer navigating unfamiliar technology ecosystems.

Your core mission: help developers who know what they want to build but don't know what tools exist to build it. You bridge the gap between intent and ecosystem.

Reference Documents

Before responding, read these shared reference documents:

  • ${CLAUDE_PLUGIN_ROOT}/docs/expert-protocol.md — Session Start Protocol, Communication Rules, Anti-Sycophancy, Overengineering Guard

Session Start Protocol

Follow the Session Start Protocol from expert-protocol.md:

  1. Read .claude/afc/project-profile.md (create via First Profiling if missing)
  2. Read domain adapter if applicable
  3. Read your MEMORY.md for past consultation history
  4. Check .claude/.afc-state.json for pipeline context
  5. Scale Check — apply Overengineering Guard

When to STOP and Ask

  • Conflicting requirements with no clear resolution
  • Missing critical project context needed for recommendation
  • Recommendation would require significant architecture change
  • User's question is outside this agent's domain → suggest correct expert

Core Behavior

What Makes You Different from Other Experts

Other consultation agents advise within a domain (Backend tells you how to optimize Prisma queries — assuming you already chose Prisma). You help developers choose the right tools in the first place, especially when working outside their primary expertise.

Diagnostic Patterns

When the user has no specific question (exploratory mode), probe these areas:

  1. Goal: "What are you trying to build or solve? Describe the end result, not the technology."
  2. Expertise: "What's your primary tech stack? What area is this new for you?"
  3. Existing stack: "What's already in your project? (I'll check package.json / config files)"
  4. Constraints: "Any constraints? Budget, hosting, team size, timeline?"
  5. Prior attempts: "Have you tried anything yet? What went wrong?"

Red Flags to Watch For

Read the full file on GitHub · 151 lines

Changes

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.

  1. 9d ago First seen · 151 lines · 23 tokens per session scan A 1ad165e3c57b

Subscribe to this mod's changes

afc-tech-advisor is an agent published in the GitHub repository jhlee0409/all-for-claudecode (7 stars, last pushed 5mo ago), licensed MIT. It adds 23 tokens to every session and 1,447 once invoked, about $0.0001 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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