agent-skills AGENTS.md

Repository instructions for creating and maintaining agent skills in the Tower catalogue. An agent skill is a set of instructions and supporting files that an AI coding agent can load for a specific kind of work.

In plain words
What is it for?
Use them when adding or editing a skill in the repository, including its SKILL.md file, supporting resources, troubleshooting notes, and scope limits.
Why use it?
They explain the required folder layout, naming rules, descriptions, and writing conventions. This helps skills be discovered and used consistently.

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/tower/agent-skills/agents-md
Clone the repo
git clone --depth 1 https://github.com/tower/agent-skills

Made for: Codex, OpenCode.

Per session 878 This file is loaded in full into every session.
When invoked 878 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 $0.00878 $0.00878
Opus 5 $0.00439 $0.00439
Sonnet 5 $0.00176 $0.00176
Haiku 4.5 $0.00088 $0.00088

Measured 2d ago against content hash c11c6b3d5d52, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-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 · 37 lines

How it starts

The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Skills for Tower

This repository is a catalog of agent skills for Tower, installable with the skills CLI (npx skills add tower/agent-skills). There is no application code here — the deliverables are the SKILL.md files themselves.

Repository layout

  • skills/<skill-name>/SKILL.md — one directory per skill. The skills CLI discovers skills at exactly this depth.
  • A skill directory may also contain supporting files (scripts, references) that the SKILL.md links to with relative paths.

Skill conventions

  • Frontmatter requires name (lowercase, hyphen-separated, must match the directory name and be unique across the repo) and description.
  • The description is what an agent uses to decide when to load the skill: state what the skill does AND the trigger phrases/situations that should invoke it, including cases where the user doesn't use Tower terminology.
  • Skill names are prefixed tower- (e.g. tower-integration, tower-data).
  • Write instructions imperatively, addressed to the agent. Prefer concrete commands and code snippets over prose. Include a troubleshooting section and a "what this skill is not for" section that points to sibling skills.
  • Secrets handling is a hard rule in every skill: credential values never appear in code, config files, or conversation — they live in Tower secrets.

Design principles for data skills

Every skill in this catalog gives an agent access to customer data. New skills must uphold these principles; they exist so a skill author doesn't accidentally relax a guarantee a sibling skill depends on.

  1. Read and write are separate skills with separate credential models. tower-data vends short-lived read-only credentials; tower-integration owns writes via scoped secrets. Never give an analytical skill write credentials or a write skill blanket admin credentials. A new skill must pick a side (or justify why it needs both, with explicit user confirmation before any write).
  2. Secrets never transit the conversation. Skills instruct the user to create secrets themselves, verify by preview only, and never echo tokens — including into temp files that outlive the command. If a user pastes a credential, store it immediately, never repeat it, and advise rotation.
  3. Credentials resolve before code is written. A skill must not have the agent write code that needs a credential that doesn't exist yet — that's how insecure workarounds (.env files, hardcoded fallbacks) get improvised.
  4. Writes are idempotent and stateless. Safe to re-run (upsert/merge or explicit dedup); incremental cursors derived from the destination, never from local state — runners are ephemeral.
  5. Verify by reading the destination back. Logs and exit codes are not proof that data landed or that an answer is right. Skills must end with a verification step against the actual data, and show the user auditable evidence (row counts, sample rows, the SQL that was run).
  6. Discover, don't assume. List existing catalogs, tables, secrets, and apps before creating or querying anything; ask when ambiguous rather than guessing.
  7. Query results are the user's private data. Use them to answer the question; don't republish them to external services.
  8. Fail with a diagnosis, not a rewrite. Distinguish user-code failure, infrastructure failure, expired credentials (self-heal by re-vending), and cold-start — each has a different fix. Every skill carries a Troubleshooting table for this.
  9. Declare non-goals. Every skill ends with a "What this skill is not for" section handing off to the sibling skill that owns the adjacent job — this is what keeps principle 1's boundary real.

Read the full file on GitHub · 37 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 · 37 lines · 878 tokens per session scan A c11c6b3d5d52

Subscribe to this mod's changes

agent-skills AGENTS.md is an instructions file published in the GitHub repository tower/agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 878 tokens to every session, about $0.0044 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.