cowork-plugin-customizer

cowork-plugin-customizer is a skill for Claude Code from sandbaseai/sandbase-skills. It costs 43 tokens per session (607 once invoked), scanned A, a copy of accessibility-review, Apache-2.0.

A workflow for planning, implementing, or reviewing a customizer for a Cowork plugin within an existing codebase.

In plain words
What is it for?
Use it to make a small compatible plugin-customizer change, preserve existing contracts, avoid unnecessary dependencies, and run relevant tests and builds.
Why use it?
It reduces compatibility and security problems by checking repository instructions, versions, tests, existing changes, and public interfaces before editing.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the sandbase-skills plugin — 244 skills shipped together

Good fit Use it to make a small compatible plugin-customizer change, preserve existing contracts, avoid unnecessary dependencies, and run relevant tests and builds.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sandbaseai/sandbase-skills/cowork-plugin-customizer
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 sandbaseai/sandbase-skills --skill cowork-plugin-customizer
Clone the repo
git clone --depth 1 https://github.com/sandbaseai/sandbase-skills

Made for: Claude Code.

Or install sandbase-skills, the plugin that ships this one along with the rest of its 244 skills.

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 cowork-plugin-customizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/cowork-plugin-customizer/github.svg)](https://agentmods.dev/skills/sandbaseai/sandbase-skills/cowork-plugin-customizer)
Your own site
<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/cowork-plugin-customizer"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/cowork-plugin-customizer/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 cowork-plugin-customizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/cowork-plugin-customizer"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/cowork-plugin-customizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 607 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 70% copy Near-identical to another mod 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 $0.00043 $0.00607
Opus 5.5 $0.00017 $0.00243
Sonnet 5.5 $0.00009 $0.00121
Haiku 4.5 $0.00004 $0.00061

Measured 28d ago against content hash 0d3f478e3742, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cowork-plugin-customizer 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 28d 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.

Origin

This is a copy

70% identical to accessibility-review — 18 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

marketing/cowork-plugin-customizer/SKILL.md · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cowork Plugin Customizer

Use this Skill to produce a bounded, verifiable Cowork Plugin Customizer outcome. Preserve the user's chosen stack, source material, and authorization boundaries.

Read the SandBase API map only when the task genuinely needs an external data source or generative model.

Workflow

  1. Inspect the available files, runtime, versions, inputs, and existing conventions before deciding what to change.
  2. Restate the requested outcome, constraints, acceptance checks, and any assumption that could change the result.
  3. Produce the smallest complete implementation, analysis, or artifact that satisfies those checks.
  4. Verify the real output with appropriate tests, previews, calculations, or source comparison; do not infer success from file creation alone.
  5. Return the deliverable, evidence of validation, material assumptions, and unresolved limitations.

Quality gates

  • Inspect repository instructions, current versions, tests, and user changes before proposing an implementation.
  • Make the smallest compatible change, preserve public contracts unless change is requested, and avoid new dependencies without a concrete benefit.
  • Run focused tests plus the relevant build or static checks, then report observed results and any unverified paths.
  • List and inspect capabilities before invoking them. Connecting, disconnecting, installing, or changing a persistent source is an external mutation requiring explicit authorization.

SandBase boundary

Keep the core Cowork Plugin Customizer work local. Use SandBase only for current external documentation, repository evidence, or explicitly requested model inference.

  1. Call sandbase_discover with a short capability query.
  2. Call sandbase_inspect for viable candidates and compare the live schema, coverage, limits, output, execution mode, and price.
  3. Prefer a dedicated tool or API the user already has. Send only the minimum necessary data.
  4. Before any paid call, show the endpoint, important arguments, current unit price, call count, and total estimate or uncertainty, then obtain confirmation.
  5. Use sandbase_account before an approved multi-call batch and call sandbase_run only with current schema-defined arguments.
  6. Poll asynchronous work with sandbase_run_get using the same run ID; never resubmit merely because it is pending.
  7. Use sandbase_runs only to recover status or reconcile observed cost.

Read the full file on GitHub · 44 lines

Files

What ships with it

1 file 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. 28d ago First seen · 44 lines · 43 tokens per session scan A 0d3f478e3742

Subscribe to this mod's changes

cowork-plugin-customizer is a skill published in the GitHub repository sandbaseai/sandbase-skills (202 stars, last pushed 29d ago), licensed Apache-2.0. It adds 43 tokens to every session and 607 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 70% identical to accessibility-review, differing in 18 lines, and is treated as a copy.

Related

Other skills, from other repositories

api-design

Guidance for designing public programming interfaces, meaning the methods and data structures other code is allowed to use. It emphasizes adding only interfaces with real callers and making invalid uses impossible to compile.

pingfanfan/hello-dsh · 54 tokens

dsh-plugin-dev

An authoritative development guide for DeepSeek Harness plugins. DeepSeek Harness is a system where models, tools, services, events, and adapters are built as plugins.

zimodzh/dsh-plugin-dev-skills · 156 tokens

diagram-design

Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack, Venn, pyramid/funnel, treemap, bar, line, Gantt and scatter charts, high-level…

stvlynn/dsh.fish · 188 tokens

springboot-migration

Use when upgrading an existing Spring Boot application to Boot 4. That covers dependency transitions, starter renames, test-annotation migration (such as @MockBean to @MockitoBean), Jackson 3 issues, related Spring Modulith 2 or Testcontainers 2 upgrade work, or planning a phased migration. Not for greenfield project…

a-pavithraa/springboot-skills-marketplace · 78 tokens

mitiq-error-mitigation

A local experiment runner for testing four ways to reduce errors in sampled quantum circuits: zero-noise extrapolation, readout correction, probabilistic error cancellation, and Clifford data regression. It compares noisy and mitigated results under the same sampling budget.

xi-zhao/OpenQuantum · 48 tokens

quantum-ground-state

A narrowly defined quantum solver for the ground-state energy of a two-quantum-bit Pauli Hamiltonian in a specified one-excitation sector. It uses a noiseless statevector VQE and checks the result against an exact calculation; VQE is a method that searches for a low-energy quantum state.

xi-zhao/OpenQuantum · 103 tokens