specialagent

specialagent is a skill for Claude Code, Codex from monoes/monomind. It costs 51 tokens per session (982 once invoked), scanned A, original, Apache-2.0.

A tool for choosing the best installed specialist agent for a task. It first checks a supplied recommendation or shared index, then narrows the choice by domain and available agent names.

In plain words
What is it for?
Use it to select an agent for coding, research, testing, architecture, or another task from the agents available in your installation.
Why use it?
It avoids selecting an agent that is not installed, which would fail when the system tries to start it. It also avoids relying on a fixed list that may be outdated.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; installed under .agents/ (shared by several agents).

Good fit Use it to select an agent for coding, research, testing, architecture, or another task from the agents available in your installation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/monoes/monomind/specialagent
Install

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.

Any agent
npx skills add monoes/monomind --skill specialagent
Clone the repo
git clone --depth 1 https://github.com/monoes/monomind

Made for: Claude Code, Codex.

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 specialagent

README.md
[![agentmods](https://agentmods.dev/badge/skills/monoes/monomind/specialagent/github.svg)](https://agentmods.dev/skills/monoes/monomind/specialagent)
Your own site
<a href="https://agentmods.dev/skills/monoes/monomind/specialagent"><img src="https://agentmods.dev/badge/skills/monoes/monomind/specialagent/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 specialagent

Your own site · 80×15
<a href="https://agentmods.dev/skills/monoes/monomind/specialagent"><img src="https://agentmods.dev/badge/skills/monoes/monomind/specialagent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 982 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 $0.00051 $0.00982
Opus 5.5 $0.00020 $0.00393
Sonnet 5.5 $0.00010 $0.00196
Haiku 4.5 $0.00005 $0.00098

Measured 2d ago against content hash 0598c632548f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

specialagent 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 2d 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/skills/specialagent/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/specialagent — Best Agent for a Task

Finds the best installed agent for a task. Never recommend from memory or from a hardcoded roster: the agent set differs per install, and a subagent_type that is not installed fails at spawn time.

Step 1: Use the pick index

In this order, stop at the first that answers:

  1. [PICK] line — if the prompt carries [PICK] agent: <name> · skill: <invoke>, recommend that agent unless it is clearly wrong for the task.
  2. mcp__monomind__pick({ task: "<task>", kind: "agents", top: 5 }) — choose the best fit among agents.ranked[] (prefer the top entry unless another is clearly more specific). Each name is a spawnable subagent_type.
  3. Local CLI — monomind pick -t "<task>" --top 5 --json | jq -r '.agents.ranked[].name' (local binary only, never npx; see mastermind-agent-select/SKILL.md for the version-checked mmpick helper).

Step 2 (fallback): Two-stage domain → agent selection

Only when Step 1 returned nothing. Only names are passed at each stage — no descriptions, no keyword dumps.

Stage 1: Give LLM the category names → LLM picks the best category
Stage 2: Give LLM the agent names installed in that category → LLM picks the best agent

Categories are the .claude/agents/ folder names: architecture consensus core design engineering github goal marketing monoswarm optimization specialists specialized templates testing.

List the installed agent names in a category from the registry (or the definitions on disk):

CAT="engineering"
jq -r --arg c "$CAT" '.agents[] | select(.category == $c and .deprecated != true) | .name' .monomind/registry.json 2>/dev/null \
  || grep -h -m1 "^name:" packages/@monomind/cli/.claude/agents/$CAT/*.md .claude/agents/$CAT/*.md 2>/dev/null | sed 's/^name: *//'

Stage 1 prompt to yourself:

"Given the task: <task> — which single category from this list best fits: <category names>? Answer with just the category name."

Stage 2 prompt to yourself:

"Given the task: <task> — which single agent from this category is the best fit: <agent names listed above>? Answer with just the agent name."

Read the full file on GitHub · 86 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. 2d ago First seen · 86 lines · 51 tokens per session scan A 0598c632548f

Subscribe to this mod's changes

specialagent is a skill published in the GitHub repository monoes/monomind (23 stars, last pushed 2d ago), licensed Apache-2.0. It adds 51 tokens to every session and 982 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-26.

Related

Other skills, from other repositories

compare-harnesses

Diff two scaffolded harnesses (ADR-031). Reports manifest meta drift + host list + per-file fingerprint changes (added/removed/changed). Exits 0 IDENTICAL, 1 DRIFT, 2 missing manifest. Use --bundle for the ADR-031 schema-1 JSON envelope.

ruvnet/metaharness · 66 tokens

create-harness

Scaffold your own focused AI agent harness — pick host (Claude Code, Codex, pi.dev, Hermes), template, agents, skills, and ship a npm-publishable harness with its own npx CLI. Use when a user asks to "create my own agent harness", "scaffold a harness", "make a custom Claude Code plugin like ruflo", or "build a…

ruvnet/metaharness · 89 tokens

diag-harness

Kernel-version skew check (ADR-027). Reports manifest surface + manifest kernel + installed kernel + verdict (match/patch-diff/minor-diff/major-diff). Exits 1 on minor/major skew with a copy-pasteable npm install @metaharness/[email protected] next step. Exits 2 if no .harness/manifest.json at path.

ruvnet/metaharness · 85 tokens

example-harness

Scaffold a ready-made AI agent harness in one command from the 19 published @metaharness/ example packages — 9 host integrations (Claude Code, Codex, Hermes, pi.dev, OpenClaw, RVM, Copilot, OpenCode, GitHub Actions) + 10 vertical pods (devops, research, trading, support, legal, coding, education, sales, gaming…

ruvnet/metaharness · 90 tokens

oia-manifest

Emit .harness/oia-manifest.json declaring layer alignment with the OIA v0.1 9-layer reference architecture. Self-describes the harness's MCP wiring, witness signing, audit log, identity posture (always 'none' at v0.1). --check verifies an existing manifest, --dry-run prints without writing, --json emits to stdout.

ruvnet/metaharness · 79 tokens

repo-genome

7-section readiness scorecard for a LOCAL repo. Reports repo type + agent topology + MCP risk + test confidence + release readiness + recommended harness plan + scorecard. Exit 0 ready, 1 needs-work, 2 blocked. --json for the 6-field scorecard, --bundle for the ADR-031 schema-1 envelope.

ruvnet/metaharness · 73 tokens