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.
npx agentmods add instructions/altertable-ai/skills/agents-mdgit clone --depth 1 https://github.com/altertable-ai/skillsWhat 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.
| Model | Per session | Once 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 |
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.
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 (seeskills/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>
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.
- 2d ago First seen · 152 lines · 1,358 tokens per session scan A 715372b3f83f
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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.