deanchor

deanchor is a skill for Claude Code, Codex from alvinunreal/oh-my-opencode-slim. It costs 0 tokens per session (241 once invoked), scanned A, original, MIT.

A writing skill for turning examples, templates, or reference outputs into general guidance rather than copying their wording. It separates the underlying intent and constraints from incidental details.

In plain words
What is it for?
Use it when a request includes examples and you need to infer the desired structure, quality, or rules. It helps produce new content that follows the principle behind the examples.
Why use it?
Examples can cause an AI to produce a lightly edited copy of the sample instead of an original result. This approach preserves the useful pattern while avoiding imitation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when a request includes examples and you need to infer the desired structure, quality, or rules. It helps produce new content that follows the principle behind the examples.

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Install with agentmods
npx agentmods add skills/alvinunreal/oh-my-opencode-slim/deanchor
About the project

oh-my-opencode-slim is a plugin that coordinates multiple specialized AI agents inside OpenCode, assigning codebase exploration, documentation research, architecture review, design, and implementation to different agents. It is for developers who want agent teams to divide and reconcile software-development work while mixing models from different providers. The catalogue entries are the plugin’s bundled agents, skills, and instruction.

alvinunreal/oh-my-opencode-slim · 9,686 stars · on GitHub · ohmyopencodeslim.com

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.

Any agent
npx skills add alvinunreal/oh-my-opencode-slim --skill deanchor
Clone the repo
git clone --depth 1 https://github.com/alvinunreal/oh-my-opencode-slim

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 deanchor

README.md
[![agentmods](https://agentmods.dev/badge/skills/alvinunreal/oh-my-opencode-slim/deanchor/github.svg)](https://agentmods.dev/skills/alvinunreal/oh-my-opencode-slim/deanchor)
Your own site
<a href="https://agentmods.dev/skills/alvinunreal/oh-my-opencode-slim/deanchor"><img src="https://agentmods.dev/badge/skills/alvinunreal/oh-my-opencode-slim/deanchor/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 deanchor

Your own site · 80×15
<a href="https://agentmods.dev/skills/alvinunreal/oh-my-opencode-slim/deanchor"><img src="https://agentmods.dev/badge/skills/alvinunreal/oh-my-opencode-slim/deanchor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 241 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00000 $0.00241
Opus 5.5 $0.00000 $0.00096
Sonnet 5.5 $0.00000 $0.00048
Haiku 4.5 $0.00000 $0.00024

Measured 3d ago against content hash 3eef2b5c1168, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deanchor 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 3d 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.

src/skills/deanchor/SKILL.md · 21 lines

What it actually says

Deanchor

Examples pull hard on a language model. Once a sample is in context, its wording, structure, and specifics become the most likely continuation, so the output tends to be one of the examples lightly reworded. A person reads the same examples differently: they ask what the examples have in common, find the right level of generalization, and make something new that fits that pattern without repeating any one of them.

Do what the person does. Before writing, name what the examples share (the intent, constraints, and taste behind them) and what is incidental (exact phrasing, length, topic, order). Keep the first and let go of the second. Then check the result: if it could pass for a light edit of one example, you anchored, so go back to the principle and try again. Copy an example's form exactly only when the user clearly asks for that format.

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. 3d ago First seen · 21 lines · 0 tokens per session scan A 3eef2b5c1168

Subscribe to this mod's changes

deanchor is a skill published in the GitHub repository alvinunreal/oh-my-opencode-slim (9,686 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 241 tokens. 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 2026-10-18.