intelligence-add-agent

A guided procedure for creating a specialised coding agent for one defined area of a project. It selects a domain-based name and checks existing agents and skills to avoid duplicates.

In plain words
What is it for?
Use it when a project needs a new agent for backend, frontend, deployment, shared code, tests, a named component, or another specific area.
Why use it?
It keeps agent responsibilities clear and prevents several agents from covering the same work or placing instructions in the wrong scope.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/ainova-systems/intelligence-sync/intelligence-add-agent
Any agent
npx skills add ainova-systems/intelligence-sync --skill intelligence-add-agent
Clone the repo
git clone --depth 1 https://github.com/ainova-systems/intelligence-sync

Made for: Claude Code, Codex.

Per session 9 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,020 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00009 $0.01020
Opus 5 $0.00005 $0.00510
Sonnet 5 $0.00002 $0.00204
Haiku 4.5 $0.00001 $0.00102

Measured 2d ago against content hash 1913195b2915, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

intelligence-add-agent 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.

intelligence/sync/skills/intelligence-add-agent/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Add Agent

Steps

  1. Determine domain prefix (the scope is required):

    • Reuse the existing domain when one fits: list intelligence/agents/ and intelligence/skills/. If a domain prefix is already established for the target area (backend-, frontend-, devops-), use it. Introduce a new domain only when the scope is materially different from all existing ones.
    • When no existing domain fits, derive from repo structure:
      • Single / root project → use the project codename from intelligence/config.yamlproject.name
      • Backend service / API component → backend-
      • Frontend / web / UI component → frontend-
      • Infrastructure, IaC, CI/CD, deployment → devops-
      • Shared library / common / cross-cutting code → core-
      • Test suites (e2e, integration) → tests-
      • Tool-internal (intelligence-sync itself) → intelligence-
    • If the repo is a monorepo with named components (e.g., apps/billing, services/auth), prefer the component name as the domain (billing-, auth-).
    • Every agent needs a domain prefix. If the scope is unclear, ask the user before proceeding.
  2. Check existing agents: Read intelligence/agents/ to avoid duplicates. If an agent for this domain exists, ask user whether to update it instead.

  3. Determine tier and access:

    • Developer agents: tier: heavy, access: full
    • Reviewer/validator agents: tier: standard, access: readonly
    • Simple lookup agents: tier: light, access: readonly
    • Caveat: readonly's closed tools list also removes MCP and tool-search access. A reviewer that needs MCP reads takes access: full with a read-only boundary stated in its body.
  4. Analyze codebase: Read source files in the domain's directory to determine:

    • Technology stack and frameworks
    • Architecture patterns
    • Build and test commands
    • Key conventions and forbidden patterns
  5. Create agent: Write intelligence/agents/<domain>-<role>.md with frontmatter:

    ---
    name: <domain>-<role>
    description: "<when to use this agent - IDEs use this to suggest the agent>"
    tier: heavy|standard|light
    access: full|readonly
    skills:
      - <existing-skills-for-this-domain>
    ---
    

Read the full file on GitHub · 63 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 · 63 lines · 9 tokens per session scan A 1913195b2915

Subscribe to this mod's changes

intelligence-add-agent is a skill published in the GitHub repository ainova-systems/intelligence-sync (4 stars, last pushed 4d ago), licensed MIT. It adds 9 tokens to every session and 1,020 once invoked, about $0.0000 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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