signetai: Skill for Claude Code

.agents/skills/signet-docs-pages/SKILL.md

signet-docs-pages is a skill for Claude Code, Codex from Signet-AI/signetai. It costs 50 tokens per session (2,831 once invoked), scanned A, original, no licence file.

A guide for creating or rewriting a public Signet documentation page using the project's required layout and visual elements. It focuses on checked facts, sequence diagrams, field lists, screenshots, and a thin-lined figure.

In plain words
What is it for?
Use it when editing pages under web/docs that explain how Signet works or document its fields and sequences.
Why use it?
It helps keep public documentation consistent with the Signet house template and separates it from README files, specifications, and marketing pages.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is Signet-AI/signetai's own configuration. It tells Claude Code and Codex how to work on signetai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything signetai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Signet-AI/signetai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Signet-AI/signetai/main/.agents/skills/signet-docs-pages/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Signet-AI/signetai

Made for: Claude Code, Codex.

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 signet-docs-pages

README.md
[![agentmods](https://agentmods.dev/badge/skills/signet-ai/signetai/signet-docs-pages/github.svg)](https://agentmods.dev/skills/signet-ai/signetai/signet-docs-pages)
Your own site
<a href="https://agentmods.dev/skills/signet-ai/signetai/signet-docs-pages"><img src="https://agentmods.dev/badge/skills/signet-ai/signetai/signet-docs-pages/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.

agentmods 80×15 button for signet-docs-pages

Your own site · 80×15
<a href="https://agentmods.dev/skills/signet-ai/signetai/signet-docs-pages"><img src="https://agentmods.dev/badge/skills/signet-ai/signetai/signet-docs-pages.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,831 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00050 $0.02831
Opus 5.5 $0.00020 $0.01132
Sonnet 5.5 $0.00010 $0.00566
Haiku 4.5 $0.00005 $0.00283

Measured 17d ago against content hash 48c9174456eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

signet-docs-pages scanned grade A with 1 finding 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 17d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

| `api/memory/recall-search.mdx` | API reference | Endpoint table, `SequenceDiagram` with process boundary and `opt` frames, `EndpointSpec`, curl/CLI/SDK `Tabs`, `Fields` for request and response, error table, `####` beh
.agents/skills/signet-docs-pages/SKILL.md · 204 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 17d ago First seen · 204 lines · 50 tokens per session scan A 48c9174456eb

Subscribe to this mod's changes

signet-docs-pages is a skill published in the GitHub repository Signet-AI/signetai (313 stars, last pushed today), with no licence file. It adds 50 tokens to every session and 2,831 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-09.

Related

Other skills, from other repositories

memory-to-skill

Turn workflows from your MemSearch memory into reusable skills. Use when the user asks to make/create/extract/distill a skill from what they just did or from past work, review skill candidates, install a distilled skill, or 'turn this into a skill'. Manages MemSearch procedural-memory candidates under…

zilliztech/memsearch · 82 tokens

Effective Memory

The essential habits for an AI agent with memory — session bookends, learning triggers, verification, safety, and the operational discipline that turns raw recall into compounding intelligence. Keyword-matched after installation.

plur-ai/plur · 43 tokens

recall

Recall this repository's OwnMem local memory before changing code, and keep it healthy. Use when a repository contains .ownmem/, when past debugging lessons could apply ("have we hit this before", "why is it done this way"), or when the user mentions ownmem, project memory, or recalling across sessions.

grpcer/ownmem · 66 tokens

init

Install or update OwnMem in the current repository. Use when the user asks to set up OwnMem, add local project memory for coding agents, or refresh an existing OwnMem installation after a version bump.

grpcer/ownmem · 43 tokens

mnemo-cortex

Installs and wires Mnemo Cortex (local-first persistent memory) into OpenClaw and other MCP-capable agents. Use for cross-session recall, decision history, or multi-agent shared memory.

GuyMannDude/mnemo-cortex · 44 tokens

honcho-integration

Integrate Honcho memory into existing Python or TypeScript codebases. Use when adding Honcho SDK, setting up peers, configuring sessions, and accessing Honcho's representation.

plastic-labs/honcho · 40 tokens