Borrowing it
Nothing to install: this file belongs to tower/agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/tower/agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/tower/agent-skillsWrote 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.
[](https://agentmods.dev/instructions/tower/agent-skills/agents-md)<a href="https://agentmods.dev/instructions/tower/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/tower/agent-skills/agents-md/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.
<a href="https://agentmods.dev/instructions/tower/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/tower/agent-skills/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00878 | $0.00878 |
| Opus 5.5 | $0.00351 | $0.00351 |
| Sonnet 5.5 | $0.00176 | $0.00176 |
| Haiku 4.5 | $0.00088 | $0.00088 |
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 2mo 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 — 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. TheskillsCLI 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) anddescription. - The
descriptionis 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.
- Read and write are separate skills with separate credential models.
tower-datavends short-lived read-only credentials;tower-integrationowns 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). - 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.
- 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.
- 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.
- 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).
- Discover, don't assume. List existing catalogs, tables, secrets, and apps before creating or querying anything; ask when ambiguous rather than guessing.
- Query results are the user's private data. Use them to answer the question; don't republish them to external services.
- 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.
- 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.
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.
- 2mo ago First seen · 37 lines · 878 tokens per session scan A c11c6b3d5d52
agent-skills AGENTS.md is an instructions file published in the GitHub repository tower/agent-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 878 tokens to every session, about $0.0035 per session on Opus 5.5. 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.
agent-skills AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-skills AGENTS.mdtower/agent-skills | Instructions file | 2 | 3mo ago | MIT | A | 878 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |