QA Find Bugs MCP
bex-co/beancount-io
Hunt bugs in the Beancount.io remote MCP server by driving the real POST /api-gateway/mcp endpoint with JSON-RPC and real MCP clients, checking transport, discovery, credential boundaries, tool and…
Compress an agent's routing file (RESOLVER.md or AGENTS.md) by converting granular skill-per-row tables into functional-area dispatchers.
$ npx skills add inbrainfun/inbrain --skill functional-area-resolver -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install inbrainfun/inbrain functional-area-resolver --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/inbrainfun/inbrain.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/functional-area-resolver .claude/skills/functional-area-resolver && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "functional-area-resolver" agent skill from https://github.com/inbrainfun/inbrain/tree/main/skills/functional-area-resolver into .claude/skills/functional-area-resolver/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "functional-area-resolver", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/inbrainfun/inbrain/tree/main/skills/functional-area-resolverType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add inbrainfun/inbrain --skill functional-area-resolver -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install inbrainfun/inbrain functional-area-resolver --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/inbrainfun/inbrain.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/functional-area-resolver .agents/skills/functional-area-resolver && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "functional-area-resolver" agent skill from https://github.com/inbrainfun/inbrain/tree/main/skills/functional-area-resolver into .agents/skills/functional-area-resolver/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "functional-area-resolver", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add inbrainfun/inbrain --skill functional-area-resolver -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install inbrainfun/inbrain functional-area-resolver --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/inbrainfun/inbrain.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/functional-area-resolver .cursor/skills/functional-area-resolver && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "functional-area-resolver" agent skill from https://github.com/inbrainfun/inbrain/tree/main/skills/functional-area-resolver into .cursor/skills/functional-area-resolver/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "functional-area-resolver", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/inbrainfun/inbrain.git --path skills/functional-area-resolver--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add inbrainfun/inbrain --skill functional-area-resolver -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install inbrainfun/inbrain functional-area-resolver --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/inbrainfun/inbrain.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/functional-area-resolver .gemini/skills/functional-area-resolver && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "functional-area-resolver" agent skill from https://github.com/inbrainfun/inbrain/tree/main/skills/functional-area-resolver into .gemini/skills/functional-area-resolver/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "functional-area-resolver", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install inbrainfun/inbrain functional-area-resolverInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add inbrainfun/inbrain --skill functional-area-resolver -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/inbrainfun/inbrain.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/functional-area-resolver .github/skills/functional-area-resolver && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "functional-area-resolver" agent skill from https://github.com/inbrainfun/inbrain/tree/main/skills/functional-area-resolver into .github/skills/functional-area-resolver/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "functional-area-resolver", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add inbrainfun/inbrain --skill functional-area-resolver -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install inbrainfun/inbrain functional-area-resolver --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/inbrainfun/inbrain.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/functional-area-resolver .opencode/skills/functional-area-resolver && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "functional-area-resolver" agent skill from https://github.com/inbrainfun/inbrain/tree/main/skills/functional-area-resolver into .opencode/skills/functional-area-resolver/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "functional-area-resolver", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
functional-area-resolverCompress an agent's routing file (RESOLVER.md or AGENTS.md) by converting granular skill-per-row tables into functional-area dispatchers.
Functional Area Resolver is an agent skill from inbrainfun/inbrain. Compress an agent's routing file (RESOLVER.md or AGENTS.md) by converting granular skill-per-row tables into functional-area dispatchers. Each area lists sub-skills in a "(dispatcher for: ...)" clause. The LLM reads one area entry and routes to the correct sub-skill. Proven via held-out A/B eval: dispatcher pattern outperforms naive pipe-table compression.
Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file.
It sits in Backend & APIs, covering GraphQL.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 5231990. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
nodegitFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
arxiv.organthropic.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
ANTHROPIC_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Functional Area Resolver loads about 4k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 1,759 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,759 words (~4,045 tokens).
“Routing files (RESOLVER.md, AGENTS.md) grow as skills are added. Each skill gets its own row (trigger -> skill path). At ~200+ skills this hits 25-30KB, eating context budget that should go to actual work.”
SKILL.md and 1 other file in skills/functional-area-resolver of inbrainfun/inbrain.
Open the folder on GitHubat commit 5231990
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in inbrainfun/inbrain, which our catalogue first saw on October 7, 2026.
Functional Area Resolver next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Functional Area Resolver this skillinbrainfun/inbrain | 142 | 1 repos | ~4k | Automated safety check: Pass | Custom licence | |
| QA Find Bugs MCPbex-co/beancount-io | 294 | — | ~3k | Automated safety check: Pass | MIT | |
| Shopifyasgeirtj/system_prompts_leaks | 69k | — | ~2k | Automated safety check: Pass | CC0-1.0 | |
| MondayLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.3k | Automated safety check: Pass | MIT | |
| Apollo MCP Servermajiayu000/claude-skill-registry | 666 | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Linearmagnus919/agent-skills | 111 | — | ~1.9k | Automated safety check: Notes | MIT |
bex-co/beancount-io
Hunt bugs in the Beancount.io remote MCP server by driving the real POST /api-gateway/mcp endpoint with JSON-RPC and real MCP clients, checking transport, discovery, credential boundaries, tool and…
asgeirtj/system_prompts_leaks
Set up and operate a Shopify store with Shopify's official MCP server (the installed shopify command, NOT the npm Shopify CLI).
LeoYeAI/openclaw-master-skills
Manage monday.com boards, items, columns, groups, updates, and workflows via MCP server (preferred) and GraphQL API (fallback).
majiayu000/claude-skill-registry
Guide for using Apollo MCP Server to connect AI agents with GraphQL APIs.
magnus919/agent-skills
Manage Linear teams, projects, cycles, issues, comments, workflow state, and documents from a terminal through Linear's public GraphQL API.
aeonfun/aeon
Run a task through your Executor Cloud tool catalog - one MCP endpoint proxying every integration you connected (MCP servers, OpenAPI specs, GraphQL APIs), with per-tool allow/approve/block policies.
inbrainfun/inbrain
Verify a research claim or academic citation by tracing it through publication → methodology → raw data → independent replication.
inbrainfun/inbrain
Day-one data bootstrapping for a new brain. An agent skill from inbrainfun/inbrain.
inbrainfun/inbrain
Enrich brain pages with tiered enrichment protocol. An agent skill from inbrainfun/inbrain.
inbrainfun/inbrain
Trace one idea's evolution through the brain: first mention, best articulation, related concepts, reversals, contradictions, abandoned branches, and the current live version.
inbrainfun/inbrain
Brain health checks: back-link enforcement, citation audit, filing validation, stale info detection, orphan pages, and benchmarks.
inbrainfun/inbrain
Evolve your brain's schema pack. An agent skill from inbrainfun/inbrain.
Categories
Compress an agent's routing file (RESOLVER.md or AGENTS.md) by converting granular skill-per-row tables into functional-area dispatchers. Functional Area Resolver is an agent skill from inbrainfun/inbrain.md) by converting granular skill-per-row tables into functional-area dispatchers.
Functional Area Resolver fits situations like: tasks that involve GraphQL.
Run `npx skills add inbrainfun/inbrain --skill functional-area-resolver -a claude-code`. Or copy the skill folder (skills/functional-area-resolver in inbrainfun/inbrain) into .claude/skills/functional-area-resolver in your project. Claude Code loads it when a task matches its description.
Run `npx skills add inbrainfun/inbrain --skill functional-area-resolver -a codex`. Or copy the skill folder (skills/functional-area-resolver in inbrainfun/inbrain) into .agents/skills/functional-area-resolver in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add inbrainfun/inbrain --skill functional-area-resolver -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/functional-area-resolver, .gemini/skills/functional-area-resolver, .github/skills/functional-area-resolver and .opencode/skills/functional-area-resolver in your project.
Going by SKILL.md and its folder, Functional Area Resolver needs the command-line tools its instructions call (node and git) and credentials named ANTHROPIC_API_KEY.
SKILL.md names 2 domains. As links in the text: arxiv.org and anthropic.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Functional Area Resolver has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 4k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Functional Area Resolver: QA Find Bugs MCP (bex-co/beancount-io, 294 stars), Shopify (asgeirtj/system_prompts_leaks, 69k stars), Monday (LeoYeAI/openclaw-master-skills, 2.2k stars) and Apollo MCP Server (majiayu000/claude-skill-registry, 666 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
inbrainfun (a GitHub user) maintains it in inbrainfun/inbrain, which has 142 GitHub stars. The repository holds 54 skills in this directory. The repository was last updated on July 17, 2026.
Source: inbrainfun/inbrain on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.