skills AGENTS.md

Repository instructions for AI coding agents that explain how to understand the project and create new skills. A skill is a reusable set of instructions for an agent.

In plain words
What is it for?
Use it when adding or reviewing skills, reading the project layout, or checking whether a skill follows the repository’s conventions.
Why use it?
It gives agents consistent rules for the repository’s structure, naming, file format, and good documentation practices.

Instructions file for CodexOpenCode

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 instructions/altertable-ai/skills/agents-md
Clone the repo
git clone --depth 1 https://github.com/altertable-ai/skills

Made for: Codex, OpenCode.

Per session 1,358 This file is loaded in full into every session.
When invoked 1,358 The same file — it is already loaded in full.
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 $0.01358 $0.01358
Opus 5 $0.00679 $0.00679
Sonnet 5 $0.00272 $0.00272
Haiku 4.5 $0.00136 $0.00136

Measured 2d ago against content hash 715372b3f83f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skills AGENTS.md 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.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for AI coding agents working with this repository.

Repository Overview

A collection of skills for AI agents following the Agent Skills Specification.

Structure

skills/
  {skill-name}/
    SKILL.md
    references/
      {topic}.md

scripts/
  score-skills.py
  scorer/
  tests/

Creating a New Skill

Naming Convention

Use an imperative verb, lowercase, and hyphens only:

  • analyze-data
  • analyzing-data

SKILL.md Format

---
name: {skill-name}
description: {Third-person description with trigger keywords}
---

# {Skill Title}

## Quick Start
{Immediate actionable example}

## When to Use This Skill
{Bullet points with trigger conditions}

## Common Pitfalls
{5-10 mistakes to avoid}

## References
{Links to references/ files}

Best Practices

  • Keep SKILL.md under 500 lines
  • Move details to references/
  • Third-person descriptions ("Analyzes..." not "I help you...")
  • Include trigger keywords
  • References one level deep only

Commands

  • /altertable:ask <query> -- routes user queries to the best skill (see skills/ask/SKILL.md)

Available Skills

<available_skills> analyze-funnels Builds conversion funnels over ordered steps. Use for user journeys, drop-off, onboarding, checkout, or multi-step flows. Returns a funnel insight. analyze-insights Explains what an existing insight or chart shows. Use when asked what a visualization or graph means, or to read out its outliers. Does not run a query. analyze-web-traffic Analyzes website traffic (pageviews, sessions, referrers, landing pages). Use for site visits, traffic sources, bounce, or visitor behavior. ask Routes user queries to the best-fit Altertable skill. Use when unsure which Altertable skill applies to a request. build-segments Compares event metrics across cohorts using filters, breakdowns, and dimensions. Use to define an audience or compare groups such as free versus paid. Returns a segmentation insight. configure-tasks Schedules recurring AI tasks over insights and dashboards. Use for alerts, cron-style monitoring, or anomaly and forecast checks that run on their own. create-discoveries Reports a change, anomaly, root cause, recommendation, or warning to users. Use when analysis produces something worth telling someone. Returns a discovery that enters review. create-insights Drafts, renders, and saves insights of every type (SQL, semantic, segmentation, funnel, retention). Use to build, preview, or share a visualization. Returns a saved insight. decide-actions Decision matrices for picking insight types (funnel, retention, semantic, segmentation, SQL), task types, and discovery actions. Use when choosing types or whether to create, update, or skip discoveries. evaluate-skills Evaluates and authors agent skills against the Agent Skills spec. Use when reviewing, writing, or refactoring a SKILL.md, or asking about structure, frontmatter, or naming. explore-data Inspects catalogs, schemas, tables, columns, semantic models, measures, and dimensions. Use to find what data exists or a table's columns. Reads metadata, runs no query. forecast-timeseries Runs on-demand statistics over a time series to spot outliers and project values. Use for whether a spike is normal, or what a metric reaches next week. instrument-product-analytics Adds Altertable product analytics to an application (event tracking, user identification, traits, consent, session reset, aliasing). Use when writing instrumentation code. manage-discoveries Reviews, approves, and rejects existing discoveries. Use for the approval queue, discovery states, or user feedback on a discovery. query-lakehouse Writes, validates, optimizes, and runs DuckDB SQL against the Altertable lakehouse. Use when answering a question requires executing a query, joining tables, or aggregating metrics. query-product-events Queries product events and identities with SQL (event counts, properties, user activity, traits). Use to answer a question about tracked behavior or confirm new tracking arrives. understand-platform Explains Altertable concepts and architecture. Use for what Altertable is, or how agents, discoveries, insights, memories, and dashboards relate. Concepts only. use-memory Stores and recalls agent memories and org knowledge between sessions. Use to remember a definition, threshold, or convention, or recall earlier context. Not user-facing. </available_skills>

Read the full file on GitHub · 152 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 · 152 lines · 1,358 tokens per session scan A 715372b3f83f

Subscribe to this mod's changes

skills AGENTS.md is an instructions file published in the GitHub repository altertable-ai/skills (7 stars, last pushed 8d ago), licensed MIT. It adds 1,358 tokens to every session, about $0.0068 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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