idmp-ai

idmp-ai is a skill for Claude Code from taosdata/agent-skills. It costs 47 tokens per session (1,487 once invoked), scanned A, original, MIT.

A tool for checking AI availability and data access, inspecting chat sessions, and creating AI-generated questions, panels, or analyses within a chosen element scope.

In plain words
What is it for?
It helps check AI and data availability, review recorded chats, request recommendations, and create or save AI-generated objects.
Why use it?
It prevents unsupported claims when the AI service or its data is unavailable, and clarifies when generated work should be saved.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the idmp-plugin plugin — 23 skills shipped together

Good fit It helps check AI and data availability, review recorded chats, request recommendations, and create or save AI-generated objects.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/taosdata/agent-skills/idmp-ai
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 taosdata/agent-skills --skill idmp-ai
Clone the repo
git clone --depth 1 https://github.com/taosdata/agent-skills

Made for: Claude Code.

Or install idmp-plugin, the plugin that ships this one along with the rest of its 23 skills.

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 idmp-ai

README.md
[![agentmods](https://agentmods.dev/badge/skills/taosdata/agent-skills/idmp-ai/github.svg)](https://agentmods.dev/skills/taosdata/agent-skills/idmp-ai)
Your own site
<a href="https://agentmods.dev/skills/taosdata/agent-skills/idmp-ai"><img src="https://agentmods.dev/badge/skills/taosdata/agent-skills/idmp-ai/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 idmp-ai

Your own site · 80×15
<a href="https://agentmods.dev/skills/taosdata/agent-skills/idmp-ai"><img src="https://agentmods.dev/badge/skills/taosdata/agent-skills/idmp-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,487 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 $0.00047 $0.01487
Opus 5 $0.00023 $0.00744
Sonnet 5 $0.00009 $0.00297
Haiku 4.5 $0.00005 $0.00149

Measured 10d ago against content hash 7e53f5a6b2de, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

idmp-ai 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 10d 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.

plugins/idmp-plugin/skills/idmp-ai/SKILL.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ai

Read ../idmp-shared/SKILL.md first.

What this skill covers

  • Prove AI availability, AI-visible data, chat-session visibility, and generation boundaries before claiming success.
  • Keep generation grounded in a real element scope and hand off to non-AI workflows when the backend is empty or unavailable.

Missing context to resolve first

  • AI backend availability.
  • Record policy.
  • Whether the operator wants availability only, recommendations, a draft object, or a recorded chat.
  • The target element scope for recommend or create requests.
  • Whether record:true is acceptable.

Constrained live behaviors

  • Treat datasource available list=false as a hard stop.
  • idmp-cli datasource available list is the hard availability gate.
  • recommend can return an empty array.
  • idmp-cli ai anydata list measures AI-visible data, not chat history.
  • idmp-cli ai chat sessions is the safest proof that recorded chat is visible.
  • ai recommend create and ai recommend create-post still need questionType values from the backend QuestionType enum. Use GENERAL_QUESTION, GEN_PANEL_QUESTION, or GEN_ANALYSIS_QUESTION; do not send intuitive aliases such as PANEL or ANALYSIS.
  • Keep the endpoint path in the evidence: ai recommend create calls /api/v1/ai/panels/recommend, while ai recommend create-post calls /api/v1/ai/prompts/recommend.
  • Recommendation endpoints can return []; classify that as empty output instead of inventing advice.
  • If the backend returns a structured error, surface that error verbatim.
  • If recommend fails with Can't parse the value: PANEL to AiGenPromptType, classify it as a backend contract mismatch instead of datasource or auth unavailability.
  • If recorded chat creation complains about an invalid session, retry with sessionId:null.
  • AI analysis draft creation can time out even when datasource available list and ai anydata list are healthy; classify context deadline exceeded as backend AI/API latency and hand off to structured analysis workflows instead of mutating the request semantics blindly.

Read the full file on GitHub · 97 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 10d ago First seen · 97 lines · 47 tokens per session scan A 7e53f5a6b2de

Subscribe to this mod's changes

idmp-ai is a skill published in the GitHub repository taosdata/agent-skills (3 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 1,487 once invoked, about $0.0002 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 2026-08-30.

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