work-it

work-it is a skill for Claude Code, Codex from dinglebear-ai/dendrite. It costs 53 tokens per session (2,414 once invoked), scanned A, original, AGPL-3.0.

A work-execution workflow for carrying out a plan in a separate Git worktree, tracking progress, and reviewing every changed file.

In plain words
What is it for?
Use it to implement planned changes, create a progress-tracked pull request, and repeat review-and-fix passes until the project checks are passing.
Why use it?
It keeps implementation organized and requires linting, tests, CI, and review checks before the work is considered finished.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the vibin plugin — 40 skills, 1 command 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/dinglebear-ai/dendrite/work-it
Any agent
npx skills add dinglebear-ai/dendrite --skill work-it
Clone the repo
git clone --depth 1 https://github.com/dinglebear-ai/dendrite

Made for: Claude Code, Codex.

Or install vibin, the plugin that ships this one along with the rest of its 40 skills, 1 command.

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 work-it

README.md
[![agentmods](https://agentmods.dev/badge/skills/dinglebear-ai/dendrite/work-it.svg)](https://agentmods.dev/skills/dinglebear-ai/dendrite/work-it)
Your own site
<a href="https://agentmods.dev/skills/dinglebear-ai/dendrite/work-it"><img src="https://agentmods.dev/badge/skills/dinglebear-ai/dendrite/work-it.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,414 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00053 $0.02414
Opus 5 $0.00026 $0.01207
Sonnet 5 $0.00011 $0.00483
Haiku 4.5 $0.00005 $0.00241

Measured 3d ago against content hash 88346f18583f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

work-it 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.

plugins/vibin/skills/work-it/SKILL.md · 210 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

3 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 · 210 lines · 53 tokens per session scan A 88346f18583f

Subscribe to this mod's changes

work-it is a skill published in the GitHub repository dinglebear-ai/dendrite (1 stars, last pushed 10d ago), licensed AGPL-3.0. It adds 53 tokens to every session and 2,414 once invoked, about $0.0003 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 2026-09-03.

Related

Other skills, from other repositories

finishing-a-development-branch

The Finality Layer for CIEL orchestration. Guides the completion of an epic by enforcing global verification, presenting integration options, and handling Git cleanup.

jxoesneon/Ciel · 37 tokens

finishing-a-development-branch

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup.

trinhhaox/ag-kit · 44 tokens

verification-before-completion

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always.

skytiger6724/gemini-skills · 43 tokens

setup-pre-commit

Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.

ronmkr/PromptBook · 62 tokens

codew-release-qa-sweep

Use before claiming Codewhale release work is done: run the full gate sweep and list the manual QA targets.

Hmbown/CodeWhale · 31 tokens

model-merging

Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialized models by blending domain-specific expertise (math + coding + chat), improving performance beyond single models, or experimenting rapidly with model variants. Covers SLERP, TIES-Merging, DARE, Task…

davila7/claude-code-templates · 73 tokens