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query-ai-conferences

query-ai-conferences is a skill for Claude Code, Codex from RongchangLi/pocketskill. It costs 73 tokens per session (776 once invoked), scanned A, original, MIT.

A research helper for finding, filtering, comparing, and checking submission deadlines for artificial-intelligence and computing conferences.

In plain words
What is it for?
Use it to find suitable conferences by topic, venue, subject area, or date window, and verify important dates against official conference pages.
Why use it?
It reduces the risk of relying on outdated, missing, estimated, or incorrectly interpreted deadline information.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the my-skill plugin — 12 skills shipped together

not rated 2repo 1mo ago A scan 73 tokens original MIT

Good fit Use it to find suitable conferences by topic, venue, subject area, or date window, and verify important dates against official conference pages.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rongchangli/pocketskill/query-ai-conferences
View source ↗ RongchangLi/pocketskill
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 RongchangLi/pocketskill --skill query-ai-conferences
Clone the repo
git clone --depth 1 https://github.com/RongchangLi/pocketskill

Made for: Claude Code, Codex.

Or install my-skill, the plugin that ships this one along with the rest of its 12 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 query-ai-conferences

README.md
[![agentmods](https://agentmods.dev/badge/skills/rongchangli/pocketskill/query-ai-conferences.svg)](https://agentmods.dev/skills/rongchangli/pocketskill/query-ai-conferences)
Your own site
<a href="https://agentmods.dev/skills/rongchangli/pocketskill/query-ai-conferences"><img src="https://agentmods.dev/badge/skills/rongchangli/pocketskill/query-ai-conferences.svg" alt="Measured on agentmods" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 776 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 $0.00073 $0.00776
Opus 5 $0.00036 $0.00388
Sonnet 5 $0.00015 $0.00155
Haiku 4.5 $0.00007 $0.00078

Measured 7d ago against content hash 20c2beee725f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

query-ai-conferences 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 7d 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/my-skill/skills/my-skills/query-ai-conferences/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Query AI Conferences

Use the AI Conference Deadlines JSON API for discovery, then verify consequential or uncertain dates against official conference pages.

Workflow

  1. Determine the user's topic, desired date window, and preferred timezone from context. Use the system date and timezone when the user does not specify them.
  2. Map the topic to one or more subject tags. For broad or ambiguous ideas, select the most likely tags and also search title, full_name, and note for 1–3 normalized keywords.
  3. Fetch the smallest suitable JSON endpoint described in references/api.md. Prefer a subject endpoint for a single field, upcoming.json for broad upcoming queries, and conferences.json for cross-field or historical queries.
  4. Treat API results as discovery data. Parse deadline together with timezone; never assume the timestamp is UTC. Exclude expired deadlines unless the user requests history.
  5. Check data quality before presenting results:
    • Reject malformed dates and impossible ranges such as end < start.
    • Mark TBA, missing deadlines, and notes containing Predicted, Estimated, or similar wording as unconfirmed.
    • Distinguish abstract_deadline from the full-paper deadline.
    • Deduplicate by id, or by normalized title and year if id is unavailable.
  6. Browse the official URL in link when the user asks for latest/current/verified information, when a date is predicted or inconsistent, or when the answer could affect a submission decision. Prefer an official CFP or society page over aggregators.
  7. Sort confirmed future deadlines chronologically in the user's timezone. Put unconfirmed entries in a separate section or label them clearly.

Topic Mapping

  • ML: machine learning, deep learning, optimization, foundation models
  • CV: computer vision, images, video, 3D, multimodal vision
  • NLP: natural language processing, LLMs, dialogue, language agents
  • RO: robotics, embodied AI, manipulation
  • SP: speech, audio, spoken language
  • DM: data mining, recommender systems, web mining
  • AP: planning, autonomous agents, multi-agent systems
  • KR: knowledge representation, reasoning, semantic systems
  • HCI: human-computer interaction, user studies
  • EDU: AI in education, learning technologies
  • CG: computer graphics, rendering, geometry

Read the full file on GitHub · 56 lines

Files

What ships with it

2 files 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. 7d ago First seen · 56 lines · 73 tokens per session scan A 20c2beee725f

Subscribe to this mod's changes

query-ai-conferences is a skill published in the GitHub repository RongchangLi/pocketskill (2 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 776 once invoked, about $0.0004 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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