plastic-skill-creating

A guide for creating or revising Plastic skills, agent roles, and lifecycle hooks. It organizes instructions into a short routing layer and deeper reference material loaded only when needed.

In plain words
What is it for?
Use it to write or edit SKILL.md files, descriptions, frontmatter, references, evaluation cases, scripts, subagent roles, and lifecycle hooks.
Why use it?
It helps keep instructions small, discoverable, and consistent with Plastic's conventions. It also reduces confusing triggers, oversized skill files, and untested behavior.

Skill for Claude CodeCodex

Part of the plastic plugin — 43 skills, 10 agents, 5 hooks, 1 MCP server shipped together

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 skills/zalom/plastic/skill-creating
Any agent
npx skills add zalom/plastic --skill skill-creating
Clone the repo
git clone --depth 1 https://github.com/zalom/plastic

Made for: Claude Code, Codex.

Or install plastic, the plugin that ships this one along with the rest of its 43 skills, 10 agents, 5 hooks, 1 MCP server.

Per session 128 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 938 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00128 $0.00938
Opus 5 $0.00064 $0.00469
Sonnet 5 $0.00026 $0.00188
Haiku 4.5 $0.00013 $0.00094

Measured 3d ago against content hash f18116301732, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plastic-skill-creating 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/scaffold.rb), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/skill-creating/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Creating Skills

Author skills, agents, and hooks as thin routers over deep references. This body carries the rules that must stay correct without opening anything, then routes each authoring task to the reference that holds the depth.

Rules (must be right even if no reference is opened)

  • Three load levels, hard budgets: metadata around 100 tokens (always loaded), body under 5000 tokens and under 500 lines (loaded on trigger), references on demand. Keep the body well under budget, not at the ceiling.
  • Progressive disclosure first: the body routes, the references hold the depth. Any deep how-to in the body belongs in a reference instead.
  • Description states WHEN to use, not the workflow. Write it in third person, front-load concrete trigger keywords, and include at least one indirect trigger (a request that never names the domain). Never summarize the steps.
  • Bind every reference link to an observable trigger condition. Never leave a bare pointer to a reference.
  • References stay one level deep. Any reference over 100 lines opens with a table of contents.
  • Build at least three evals before writing extensive docs.
  • Match determinism to fragility: a deterministic script for fragile or repeated mechanical steps, prose for judgment calls.
  • Imperative voice, no second person. User-facing docs (README, docs/, AGENTS.md, CLAUDE.md) never use em-dashes or en-dashes, and newly authored skill text avoids them (use commas, periods, parentheses, colons). Existing internal files and the sanctioned template emissions (templates/index.md's INDEX line shape) are not violations.
  • The plastic- prefix is reserved for skills and hooks Plastic itself ships. A skill authored outside Plastic's own tree takes a different name; doctor's ownership checks and the installer's purge both key off the prefix.

Route the authoring task to its reference

Authoring task Open
Starting any authoring task: load the load-level model and the thin-router pattern first references/progressive-disclosure.md
Authoring an Agent Skill (frontmatter, description, slim body, voice) references/skills.md
Authoring a subagent or Agent role file references/agents.md
Authoring a lifecycle hook references/hooks.md
Deciding script versus prose, or writing a script references/scripts.md
Building evals for a skill references/evals.md

Read the full file on GitHub · 76 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 76 lines · 128 tokens per session scan A f18116301732

Subscribe to this mod's changes

plastic-skill-creating is a skill published in the GitHub repository zalom/plastic (10 stars, last pushed 3d ago), licensed MIT. It adds 128 tokens to every session and 938 once invoked, about $0.0006 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.

Related

Other skills, from other repositories

rulesync

Generates and syncs AI rule configuration files (.cursorrules, CLAUDE.md, copilot-instructions.md) across 20+ coding tools from a single source. Use when syncing AI rules, running rulesync commands, importing or generating rule files, or managing shared AI coding configurations.

dyoshikawa/rulesync · 64 tokens

agent-workspace-linux

Use when a task needs an isolated hidden Linux desktop or workspace-owned browser: GUI app QA, web/browser/shopping automation, sandboxed app observation, or stale workspace cleanup. Routes agent-workspace-linux MCP tools on demand. Does NOT apply to host desktop/Chrome control, generic MCP setup, or pure code/file…

ilysenko/codex-desktop-linux · 70 tokens

ss-component

Generate a new UI component following the StyleSeed design conventions.

bitjaru/styleseed · 14 tokens

loongsuite-pilot-insight

基于 LoongSuite Pilot / AI Coding Agent 日志生成事件洞察、组织洞察、数据质量、研发效能和 AI Native 使用类 SLS 报表时使用;包含 AI Coding 事件表语义,以及团队报表可选的部门维表、deptuser 组织关系、指标口径和公共 CTE,通常与 sls-dashboard-builder 一起使用。.

alibaba/loongsuite-pilot · 91 tokens

map-review

Interactive 4-section code review using monitor, predictor, and evaluator agents plus the user and maintainer role reviewers on current changes. Use when reviewing a diff, PR, or staged work before merge. Do NOT use to plan or implement; use map-plan or map-efficient.

azalio/map-framework · 58 tokens

map-fast

Minimal workflow for small, low-risk changes — no planning, no learning.

azalio/map-framework · 17 tokens