ad-task

A task-file drafting workflow for creating a tracked work item in a repository. It uses checkboxes for status and an append-only notes section so later updates remain easy to review.

In plain words
What is it for?
Use it to create a task or backlog entry, interview for missing details, link related specifications or boards, and save the result under doc/tasks/.
Why use it?
It turns an informal request into a task with context, measurable acceptance criteria, a plan, ownership, and execution expectations.

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/corridortech/posecap/ad-task
Any agent
npx skills add CorridorTech/PoseCap --skill ad-task
Clone the repo
git clone --depth 1 https://github.com/CorridorTech/PoseCap

Made for: Claude Code, Codex.

Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,284 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 $0.00074 $0.01284
Opus 5 $0.00037 $0.00642
Sonnet 5 $0.00015 $0.00257
Haiku 4.5 $0.00007 $0.00128

Measured 2d ago against content hash 2d5483334957, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ad-task 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 2d 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.

.agents/skills/ad-task/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<background_information> Drafts doc/tasks/<NNNN>-<short-slug>.md for one tracked task. Format chosen so status changes via single checkbox toggles and Notes is append-only — cheap, reviewable, idempotent edits. </background_information>

Step 2 — interview to fill. Ask one question per missing field, in this order:

  • Context: why this task exists, what problem it solves, any assumption being tested.
  • Acceptance Criteria: measurable conditions. Each is a checkbox; pass/fail must be observable, not aspirational ("loads in under 2s", not "fast enough").
  • Plan: concrete sequential steps with file paths where applicable. Each is a checkbox.
  • Owner: ask.
  • Execution: AFK when the task is specified enough for an agent to execute with bounded context and disjoint write scope; HITL when it needs human judgment, taste, external access, or frequent back-and-forth.
  • Spec ref: ask; leave blank when no spec drives this task. When a feature spec exists at doc/specs/NNNN-<slug>.md, link it here so the spec's Related → Tasks list reciprocates.
  • Board ref: ask; leave blank if solo work.

Status starts at proposed. Created: today, ISO format. Notes: empty. Definition of Done section: copy verbatim from the template.

Do NOT invent values. When the user does not know something, leave <TODO> and ask. Stop after writing the file — do not start work.

Step 3 — write the file. Path: doc/tasks/<NNNN>-<short-slug>.md. Use the template below.

Step 4 — editing guidance for later turns. When the user later works on the task, edit the file by:

  • toggling checkboxes (- [ ]- [x]),
  • appending to Notes (date each entry, ### YYYY-MM-DD),
  • never rewriting existing sections.

Status flips to done only when every Acceptance Criterion and every Definition of Done item is checked. A checkbox is checked only after everything it names has actually happened — never in anticipation; split a bundled step (e.g. "open PR; merge on CI green") into separate items when its parts complete at different moments. A checked box claiming an unfinished step is a false record.

Status: <proposed | in-progress | blocked | done> Created: <YYYY-MM-DD> Owner: <name or role> Execution: <AFK | HITL> Spec ref: <doc/specs/NNNN-<slug>.md or SPEC-NNNN — blank when no spec drives this task> Board ref: <external ticket URL or ID — blank for solo work>

Read the full file on GitHub · 102 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. 2d ago First seen · 102 lines · 74 tokens per session scan A 2d5483334957

Subscribe to this mod's changes

ad-task is a skill published in the GitHub repository CorridorTech/PoseCap (190 stars, last pushed 9d ago), licensed Apache-2.0. It adds 74 tokens to every session and 1,284 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 2026-08-30.

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