task-skill

A structured workflow for completing coding tasks by inspecting a repository, planning the change, implementing it in small steps, and checking the result. It includes reviewing the final changes and reporting limitations.

In plain words
What is it for?
Use it for repository-based coding work, including finding relevant files, running focused tests and checks, reviewing diffs, and summarising the completed change.
Why use it?
It reduces the chance of changing the wrong files or overlooking regressions. The required verification and handoff summary make it clear what was actually checked.

Skill for Claude CodeCodex

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/arnosdeus/agent-toolkit/task-skill
Any agent
npx skills add Arnosdeus/agent-toolkit --skill task-skill
Clone the repo
git clone --depth 1 https://github.com/Arnosdeus/agent-toolkit

Made for: Claude Code, Codex.

Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 163 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 $0.00030 $0.00163
Opus 5 $0.00015 $0.00081
Sonnet 5 $0.00006 $0.00033
Haiku 4.5 $0.00003 $0.00016

Measured yesterday against content hash 9a36232059fe, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

task-skill 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 yesterday.

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/task-skill/SKILL.md · 14 lines

What it actually says

Task Skill

  1. Restate the requested outcome and constraints; inspect the repository and all applicable instructions.
  2. Identify relevant files, architecture, dependencies, existing commands, and likely regressions.
  3. Make a short plan and implement incrementally, touching only relevant files.
  4. Run focused tests, then available lint/type checks. For frontend changes, run meaningful Playwright checks.
  5. Review the diff, inspect generated artifacts, check regressions and security implications, and clean temporary work.
  6. Summarize exactly what changed, what was verified, commands/results, and any remaining limitation. Never claim unverified success.
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. yesterday First seen · 14 lines · 30 tokens per session scan A 9a36232059fe

Subscribe to this mod's changes

task-skill is a skill published in the GitHub repository Arnosdeus/agent-toolkit (2 stars, last pushed 8d ago), licensed MIT. It adds 30 tokens to every session and 163 once invoked, about $0.0002 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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