manage-taskboard

manage-taskboard is a skill for Codex from chuspeeism/dashi-taskboard. It costs 60 tokens per session (1,862 once invoked), scanned A, original, Apache-2.0.

A skill for managing projects and issues in Codex Taskboard, a task-tracking system, through the taskctl command-line tool. It handles the board’s exact issue identifiers and active service settings.

In plain words
What is it for?
Use it for taskboard issue operations, project and relation management, comments, status synchronisation, and taskctl cloud setup. It provides rules for choosing the correct command and taskboard connection.
Why use it?
It reduces mistakes when reading, updating, relating, or commenting on taskboard issues. It also helps keep local task status aligned with the board.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Claude Code; mentions Codex.

Good fit Use it for taskboard issue operations, project and relation management, comments, status synchronisation, and taskctl cloud setup. It provides rules for choosing the correct command and taskboard connection.

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Install with agentmods
npx agentmods add skills/chuspeeism/dashi-taskboard/manage-taskboard
About the project

Codex Taskboard is a local-first issue board that runs in a browser and can be embedded in Codex through a launcher or injection script. Developers use its web interface, HTTP API, and taskctl command-line tool to manage coding tasks, while its bundled skill guides Codex through task status changes and verification. The catalogue entries provide the task-management instruction and skill used by Codex.

chuspeeism/dashi-taskboard · 3,369 stars · on GitHub

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 chuspeeism/dashi-taskboard --skill manage-taskboard
Clone the repo
git clone --depth 1 https://github.com/chuspeeism/dashi-taskboard

Made for: Codex.

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 manage-taskboard

README.md
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Your own site
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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 manage-taskboard

Your own site · 80×15
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Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,862 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00060 $0.01862
Opus 5.5 $0.00024 $0.00745
Sonnet 5.5 $0.00012 $0.00372
Haiku 4.5 $0.00006 $0.00186

Measured 26d ago against content hash 3b4d9323107e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

manage-taskboard 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 26d 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.

skills/manage-taskboard/SKILL.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Manage Taskboard

This skill serves the local-first Codex Taskboard product, including its configured LAN and cloud services.

Apply the workflow below only to work explicitly targeting Codex Taskboard or already established as belonging to it in the conversation. An issue identifier, repository, or generic request to manage tasks, sync status, or add comments does not establish that scope. For GitHub, Phabricator, or another external tracker, use that system's tools and workflow; do not query, claim, or mirror its issues in Taskboard unless the user asks for that board operation. When the target is unclear, clarify it before running taskctl.

Within that scope, use taskctl for every project, issue, relation, and comment operation. Consume its JSON output. Use the exact issue identifier returned by the taskboard or supplied in the prompt. Never assume, derive, or rewrite an identifier prefix.

Open only the relevant section of references/cli.md when command syntax is needed.

Select the CLI and active service

  • Use the exact taskctl binary and Taskboard URL supplied by the task or injected runtime. Do not replace them with a global CLI, the default port, or another board.
  • On Windows, when no binary is injected and the desktop app is installed, use & "$env:LOCALAPPDATA\Codex Taskboard\bin\taskctl.cmd" issue get ID --json in PowerShell. The packaged wrapper reads the active launcher runtime. If this packaged path is absent, stop and ask for the exact installed taskctl.cmd path; do not switch to a global CLI or guess the service URL.
  • On macOS, when no binary is injected and the desktop app is installed, use '/Applications/Codex Taskboard.app/Contents/Resources/bin/taskctl' issue get ID --json. Keep the single quotes because the path contains a space. The packaged wrapper reads the active launcher runtime; do not search the filesystem for another CLI or reconstruct the tokenized URL.
  • On Linux, when no binary is injected and Codex was started by the desktop app, use taskctl issue get ID --json. The desktop app adds its packaged wrapper to the managed Codex PATH; do not search the filesystem for another CLI or reconstruct the tokenized URL.
  • If that exact command reaches a sandbox restriction on the loopback service, retry the same command with the required permission. Do not switch binaries or endpoints.

Read the full file on GitHub · 51 lines

Files

What ships with it

2 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. 26d ago Changed · +1 lines 3b4d9323107e
  2. 1mo ago Changed · +4 lines · +19 tokens per session 4bd8df888876
  3. 1mo ago First seen · 46 lines · 41 tokens per session scan A 552465dc8bd8

Subscribe to this mod's changes

manage-taskboard is a skill published in the GitHub repository chuspeeism/dashi-taskboard (3,369 stars, last pushed 4d ago), licensed Apache-2.0. It adds 60 tokens to every session and 1,862 once invoked, about $0.0002 per session on Opus 5.5. 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.