workplan-task-ops

A set of procedures for managing tasks in the repository’s Workplan.md file, including adding, selecting, and completing tasks.

In plain words
What is it for?
Use it to add new work, find the next actionable task, and mark finished tasks while keeping the task-selection scripts consistent.
Why use it?
It reduces mistakes in task formatting, numbering, dependencies, and completion status when maintaining a project workplan.

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/soundblaster/xcodemcpwrapper/workplan-task-ops
Any agent
npx skills add SoundBlaster/XcodeMCPWrapper --skill workplan-task-ops
Clone the repo
git clone --depth 1 https://github.com/SoundBlaster/XcodeMCPWrapper

Made for: Claude Code, Codex.

Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 644 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 $0.00053 $0.00644
Opus 5 $0.00026 $0.00322
Sonnet 5 $0.00011 $0.00129
Haiku 4.5 $0.00005 $0.00064

Measured 2d ago against content hash 79edf7131ad4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

workplan-task-ops 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/workplan-task-ops/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workplan Task Ops

Manage task lifecycle operations in SPECS/Workplan.md using the repository conventions.

Required Inputs

Collect these before running any operation:

  • Target task ID (or task type and parent context if creating a new task)
  • Target phase/backlog section in SPECS/Workplan.md
  • Current status marker (⬜️ open or completed)

Use these sources of truth:

  • SPECS/TASK_TEMPLATE.md for task entry format and markers
  • SPECS/Workplan.md for the actual task list
  • scripts/pick_next_task.py for next-task selection and completion state updates

Operation 1: Add Task

  1. Determine task ID convention before editing:
  • Phase task: P{phase}-T{n}
  • Follow-up task: FU-{parent/topic}-{n}
  • Bug task: BUG-T{n}
  1. Place the task in the correct section of SPECS/Workplan.md.

  2. Copy the open-task block from SPECS/TASK_TEMPLATE.md and fill all fields:

  • Header with ⬜️ marker
  • Description, Priority, Dependencies, Parallelizable
  • Outputs/Artifacts
  • Acceptance Criteria with unchecked boxes
  1. Validate task entry quality:
  • ID is unique in workplan
  • Dependencies reference existing tasks or none
  • Acceptance criteria are testable

Operation 2: Pick Next Task

  1. Run:
python3 scripts/pick_next_task.py
  1. Read the suggested task and dependency statuses.

  2. Confirm the suggestion is still open in SPECS/Workplan.md (⬜️) and not archived.

  3. Update SPECS/INPROGRESS/next.md using the output template in SPECS/COMMANDS/SELECT.md.

Operation 3: Mark Task Completed

  1. Confirm completion evidence exists (implementation done, validation/review state consistent).

  2. Update the task block in SPECS/Workplan.md:

  • Change header marker from ⬜️ to
  • Add or update Status line with date when applicable
  • Check completed acceptance criteria ([x])
  1. Persist completion for selector state:
python3 scripts/pick_next_task.py --done <TASK_ID>
  1. Verify follow-up selection:
python3 scripts/pick_next_task.py

Read the full file on GitHub · 80 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 · 80 lines · 53 tokens per session scan A 79edf7131ad4

Subscribe to this mod's changes

workplan-task-ops is a skill published in the GitHub repository SoundBlaster/XcodeMCPWrapper (20 stars, last pushed 2mo ago), licensed MIT. It adds 53 tokens to every session and 644 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 2026-08-30.

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