plastic-dashboard

plastic-dashboard is a skill for Claude Code, Codex from zalom/plastic. It costs 89 tokens per session (2,432 once invoked), scanned A, original, MIT.

A Markdown work dashboard that summarizes tracked goals, including recent work, suggested next work, and how each goal should be handled. Markdown is plain formatted text that many developer tools display directly.

In plain words
What is it for?
Use it when asking where work stands, what to do next, or which intents exist.
Why use it?
It gives a single overview of work stored across global and project locations instead of requiring you to inspect each goal separately.

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/dashboard
Any agent
npx skills add zalom/plastic --skill dashboard
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.

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 plastic-dashboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/zalom/plastic/dashboard.svg)](https://agentmods.dev/skills/zalom/plastic/dashboard)
Your own site
<a href="https://agentmods.dev/skills/zalom/plastic/dashboard"><img src="https://agentmods.dev/badge/skills/zalom/plastic/dashboard.svg" alt="Measured on agentmods" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,432 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 $0.00089 $0.02432
Opus 5 $0.00044 $0.01216
Sonnet 5 $0.00018 $0.00486
Haiku 4.5 $0.00009 $0.00243

Measured 3d ago against content hash 429e7ad5cf8f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plastic-dashboard 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.

skills/dashboard/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dashboard — Plastic Work Cockpit

A deterministic overview of the intent store(s). It answers three questions at a glance: where we are (recently worked), where we go next (the most-valuable next work), and how to conduct it (a disposition per intent). The human-facing surface is Markdown, because the user's UI renders Markdown natively but collapses raw tool-call stdout.

The script does all the data work. The agent fills a Markdown template from the script's payload with near-zero reasoning and presents the filled board in its reply. Same store state → byte-identical payload, regardless of model. Do NOT hand-summarize intents.

When to Use

  • User invokes /plastic-dashboard
  • User asks "where are we", "what's next", "what should I work on", "show me the intents"
  • plastic-project-continuing lands on the board on resume
  • plastic-auto reads --json to choose the next dispatchable intent

Procedure (the Markdown board — default human surface)

Step 1 — Get the data payload

ruby ~/.plastic/scripts/dashboard.rb [continue|project <slug>] --data
  • continue (default) → the global board payload (mode: "global").
  • project <slug> → that project board payload (mode: "project").

The payload is read-only JSON. Global-board fields: date, store_health, summary, next_work, next_total, next_shown, counts, projects, project_totals, footer. Project-board fields: slug, store_health, description, summary, counts, active, active_total, active_shown, next_work, next_total, next_shown, footer. summary and footer are finished prose strings (2-3 sentences and one line respectively), built in dashboard.rb and substituted verbatim, exactly like {{date}}/{{description}} already are - never re-worded or re-derived by the skill. Each list carries cell-ready fields for its table: next_work rows are {id, intent, scope, lifecycle, value, disposition, flags, what, flags_label, line}; active rows carry {id, intent, created, bullet, scope, what, stage, worker, activity, line}. The what, scope, worker, activity, and flags_label cell fields arrive pipe-escaped and whitespace-normalized.

Read the full file on GitHub · 170 lines

Files

What ships with it

4 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 · 170 lines · 89 tokens per session scan A 429e7ad5cf8f

Subscribe to this mod's changes

plastic-dashboard is a skill published in the GitHub repository zalom/plastic (10 stars, last pushed 3d ago), licensed MIT. It adds 89 tokens to every session and 2,432 once invoked, about $0.0004 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.

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