manage-taskboard

manage-taskboard is a skill for Codex from shengsheng90/DSH-taskboard. It costs 88 tokens per session (736 once invoked), scanned A, original, Apache-2.0.

A guide for managing work in the DeepSeek Harness Taskboard, a project board that tracks tasks, ownership, progress, dependencies, and review.

In plain words
What is it for?
Use it to inspect available work, claim an eligible task, read its requirements and dependencies, report progress or blockers, verify an implementation, submit it for review, or release a claim.
Why use it?
It helps an agent select the right task, claim it safely, preserve task versions, and record progress without overwriting newer changes.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to inspect available work, claim an eligible task, read its requirements and dependencies, report progress or blockers, verify an implementation, submit it for review, or release a claim.

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Install with agentmods
npx agentmods add skills/shengsheng90/dsh-taskboard/manage-taskboard
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 shengsheng90/DSH-taskboard --skill manage-taskboard
Clone the repo
git clone --depth 1 https://github.com/shengsheng90/DSH-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
[![agentmods](https://agentmods.dev/badge/skills/shengsheng90/dsh-taskboard/manage-taskboard/github.svg)](https://agentmods.dev/skills/shengsheng90/dsh-taskboard/manage-taskboard)
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
<a href="https://agentmods.dev/skills/shengsheng90/dsh-taskboard/manage-taskboard"><img src="https://agentmods.dev/badge/skills/shengsheng90/dsh-taskboard/manage-taskboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 736 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 $0.00088 $0.00736
Opus 5 $0.00044 $0.00368
Sonnet 5 $0.00018 $0.00147
Haiku 4.5 $0.00009 $0.00074

Measured 9d ago against content hash 5bcec60fa203, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 9d 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 · 34 lines

How it starts

The opening of the file, as written. The whole thing — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Manage Taskboard

Use the in-process taskboard_* tools for Agent work. Use dsh-taskboard only for human-operated scripts and interoperability; do not make the model shell out when a native tool exists.

Execute one task

  1. Call taskboard_list with the exact project id. Prefer an eligible todo; do not select backlog, archived, dependency-blocked, or already claimed work.
  2. Call taskboard_get immediately before claiming. Preserve the opaque task id and current version exactly; never derive an id from a display key such as DSH-42.
  3. Call taskboard_claim with that id and version. Treat a stale-version or claim conflict as a signal to reread and reconsider, not to retry blindly.
  4. Read the full description, comments, relations, dependency state, development context, and attachment references before changing files. Work only in the task's declared workspace, branch, or worktree.
  5. Complete the work and run relevant verification. If requirements change, call taskboard_get again before continuing.
  6. Record the final result with taskboard_comment or taskboard_submit_review, always using the version returned by the latest read or write. Never modify the task description.
  7. Call taskboard_submit_review with a concise result comment and concrete verification evidence. This moves owned work to in_review; it never marks work done.

Keep every write version-linear: after any successful comment, relation, block, or other mutation, use its returned version for the next write. If another actor wins the race, reread the task and reconcile instead of overwriting their change.

Handle exceptional outcomes

  • Call taskboard_block only on the in-progress task you hold the claim for, and only with a concrete reason when work cannot proceed. Include the missing dependency, decision, permission, or external condition. A todo you have not claimed is not yours to block: report the obstacle in a comment and leave the column to a human.
  • Call taskboard_release_claim when intentionally abandoning owned work. Explain what remains and leave useful progress in a comment first when possible.
  • Use taskboard_relate only after reading both tasks. Keep relations within one project and do not create parent cycles.
  • Never call or emulate acceptance. Only a human may accept in_review as done, return it for rework, approve backlog work, archive it, or permanently delete it.

Read the full file on GitHub · 34 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. 9d ago First seen · 34 lines · 88 tokens per session scan A 5bcec60fa203

Subscribe to this mod's changes

manage-taskboard is a skill published in the GitHub repository shengsheng90/DSH-taskboard (328 stars, last pushed 8d ago), licensed Apache-2.0. It adds 88 tokens to every session and 736 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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