intelligence-add-skill

intelligence-add-skill is a skill for Claude Code from ainova-systems/intelligence-sync. It costs 9 tokens per session (833 once invoked), scanned A, original, MIT.

A guided procedure for creating a specialised coding-agent skill, with a required domain-based name. It checks existing skills and agents before choosing where the new skill belongs.

In plain words
What is it for?
Use it when adding a reusable procedure for a backend, frontend, deployment, shared-library, test, project, or internal-tool task.
Why use it?
It prevents duplicate skills, unclear names, and instructions that are placed in the wrong technical area.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions Codex.

Good fit Use it when adding a reusable procedure for a backend, frontend, deployment, shared-library, test, project, or internal-tool task.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ainova-systems/intelligence-sync/intelligence-add-skill
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 ainova-systems/intelligence-sync --skill intelligence-add-skill
Clone the repo
git clone --depth 1 https://github.com/ainova-systems/intelligence-sync

Made for: Claude Code.

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 intelligence-add-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/ainova-systems/intelligence-sync/intelligence-add-skill/github.svg)](https://agentmods.dev/skills/ainova-systems/intelligence-sync/intelligence-add-skill)
Your own site
<a href="https://agentmods.dev/skills/ainova-systems/intelligence-sync/intelligence-add-skill"><img src="https://agentmods.dev/badge/skills/ainova-systems/intelligence-sync/intelligence-add-skill/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 intelligence-add-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/ainova-systems/intelligence-sync/intelligence-add-skill"><img src="https://agentmods.dev/badge/skills/ainova-systems/intelligence-sync/intelligence-add-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 9 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 833 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 $0.00009 $0.00833
Opus 5.5 $0.00004 $0.00333
Sonnet 5.5 $0.00002 $0.00167
Haiku 4.5 $0.00001 $0.00083

Measured 1mo ago against content hash d58beb35e897, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

intelligence-add-skill 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 1mo 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-skill/SKILL.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Add Skill

Steps

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

    • Reuse the existing domain when one fits: list intelligence/skills/ and intelligence/agents/. 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.yaml → project.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 skill needs a domain prefix. If the scope is unclear, ask the user before proceeding.
  2. Determine naming: Build full name as <domain>-<verb>-<noun> using convention:

    • add- — adds one new member to a set that already exists (a field on an existing type, a record among records)
    • create- — brings into existence the container nothing hosted before (MUST use create-, never add-)
    • update- — revises what is already there
    • run- — executes an operation (tests, build, sync)
    • review- — read-only analysis
  3. Check for existing agent: Find an agent in intelligence/agents/ matching the domain

    • If found — this skill will be linked to that agent
    • If not — ask user whether to create a new agent via /intelligence-add-agent first
  4. Analyze codebase patterns: Read existing implementations to extract the repeatable steps this skill should automate. Each step must come from actual code patterns, not generic knowledge.

Read the full file on GitHub · 54 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. 1mo ago First seen · 54 lines · 9 tokens per session scan A d58beb35e897

Subscribe to this mod's changes

intelligence-add-skill is a skill published in the GitHub repository ainova-systems/intelligence-sync (4 stars, last pushed 1mo ago), licensed MIT. It adds 9 tokens to every session and 833 once invoked, about $0.0000 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 2026-08-31.

Related

Other skills, from other repositories

antigravity-cli

Delegate bounded investigation, review, or implementation tasks to Antigravity CLI from a supervising agent. Includes a background client for task progress, follow-up prompts, conversation recovery, cancellation, and visible failures.

scarletkc/agents · 45 tokens

grok-cli

Delegate bounded tasks to Grok Build from a supervising agent such as Codex. Use when the user asks Grok to investigate, review, implement, or provide another perspective, or when a distinct coding agent would materially help. Includes a background ACP client for progress, follow-up prompts, permissions, and…

scarletkc/agents · 66 tokens

one-on-one-prep

Deep-dive preparation for 1:1 meetings with direct reports. Surfaces recent work, wins, friction, wellbeing signals, and development goal progress, anchored in the org's performance framework, organizational values, and management best practices. Produces a prep sheet with suggested conversation topics, not a script.

techwolf-ai/ai-first-toolkit · 67 tokens

performance-cycle

Evidence gathering for performance review cycles. Gathers goal completion evidence, peer feedback, development progress, scope changes, and values alignment, organised along the org's performance framework dimensions, with organizational values as the 'how' lens. Surfaces evidence gaps. Never suggests ratings, only…

techwolf-ai/ai-first-toolkit · 67 tokens

team-health

Periodic check on team dynamics, engagement signals, and development trajectory for all direct reports. Surfaces patterns across the team: who might need more challenge, who might need more support, who hasn't had a 1:1 recently. Uses two universal lenses: performance & growth, and wellbeing & connection. Outputs are…

techwolf-ai/ai-first-toolkit · 72 tokens

handoff

Write a session handoff at the end of a session so the next session can start from where this one stopped without rereading the whole conversation. Use when user says "handoff", "wrap up", "write a handoff", "end of session", "park this session", "save where we are", or to RESUME with "/handoff read", "pick up the…

techwolf-ai/ai-first-toolkit · 140 tokens