hive-work

hive-work is a skill for Claude Code, Codex from dip497/hivemind. It costs 87 tokens per session (1,734 once invoked), scanned A, original, MIT.

A workflow for handling issues in Hivemind, a project issue-tracking system. It loads an issue’s details, assigns the coding agent, updates its status, and keeps the work log and board current.

In plain words
What is it for?
It is for starting work on issue keys such as PAY-42 or BUG-7, updating issue status and comments, completing acceptance criteria, and finishing tracked work.
Why use it?
It ensures issue work is claimed and tracked consistently, so the team can see who is working on an issue and whether its acceptance requirements are complete.

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/dip497/hivemind/hive-work
Any agent
npx skills add dip497/hivemind --skill hive-work
Clone the repo
git clone --depth 1 https://github.com/dip497/hivemind

Made for: Claude Code, 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 hive-work

README.md
[![agentmods](https://agentmods.dev/badge/skills/dip497/hivemind/hive-work.svg)](https://agentmods.dev/skills/dip497/hivemind/hive-work)
Your own site
<a href="https://agentmods.dev/skills/dip497/hivemind/hive-work"><img src="https://agentmods.dev/badge/skills/dip497/hivemind/hive-work.svg" alt="Measured on agentmods" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,734 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 $0.00087 $0.01734
Opus 5 $0.00044 $0.00867
Sonnet 5 $0.00017 $0.00347
Haiku 4.5 $0.00009 $0.00173

Measured 5d ago against content hash 0e3313668952, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

hive-work 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 5d 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.

templates/agentic/.claude/skills/hive-work/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Working a hivemind issue (Execution Contract)

Always use the mcp__hive__* tools — never shell out to the hive CLI via Bash. The MCP tools keep the activity log, updated timestamp, and the board's live view in sync; the CLI is for humans. Every tool below works cross-repo: an id whose prefix belongs to another registered workspace resolves automatically.

When you start work on issue $KEY:

  1. Load context — call mcp__hive__hive_get_issue({ id: $KEY }). Read the title, description, and acceptanceCriteria array.

  2. Claim it (REQUIRED, do this FIRST) — in one move, take ownership:

    • mcp__hive__hive_set_state({ id: $KEY, state: "in_progress" }) (skip only if already in_progress)
    • mcp__hive__hive_update_issue({ id: $KEY, assignee: { type: "agent", id: "claude" } }) so the board shows WHO is on it. Status + assignee are owned by you (the agent) via these calls — the UI does not guess them. This is what makes the canvas/board reflect live agent activity.
  3. Branch (if the repo uses feature branches) — isolate your work so parallel agents don't collide: git switch -c $KEY (or reuse an existing branch named for the issue). Skip if the repo works trunk-based or you're already on a suitable branch.

  4. Plan — outline the steps to complete each criterion. Post the plan as a comment via mcp__hive__hive_add_comment (one paragraph, no preamble).

  5. Execute — do the actual work using Edit / Write / Bash for code changes. After completing each criterion, call mcp__hive__hive_mark_acceptance({ id: $KEY, index: N, done: true }).

  6. Verify & commit (REQUIRED before review) — run the repo's tests / typecheck / build (whatever it has) and make them pass. Then commit your work with the issue id in the message: git commit -am "$KEY: <what changed>". Do NOT push unless the user explicitly asked — pushing is a human-authorised action. Committing locally is expected.

  7. Report progress — when meaningful work is done, post a comment summarising what you did and pointing at the changes (file:line refs).

  8. Final disposition (REQUIRED) — end EVERY work session with one of:

    • mcp__hive__hive_set_state({ id: $KEY, state: "in_review" }) — work complete, awaiting human review
    • mcp__hive__hive_set_state({ id: $KEY, state: "done" }) — only if you have explicit authority
    • mcp__hive__hive_set_state({ id: $KEY, state: "blocked", note: "<why>" }) — cannot proceed; explain
    • mcp__hive__hive_set_state({ id: $KEY, state: "in_progress" }) — still going; will resume next session

Do not exit silently. Failing to call hive_set_state leaves the issue in a stale state and breaks the team's view of what's happening.

Read the full file on GitHub · 85 lines

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. 5d ago First seen · 85 lines · 87 tokens per session scan A 0e3313668952

Subscribe to this mod's changes

hive-work is a skill published in the GitHub repository dip497/hivemind (6 stars, last pushed yesterday), licensed MIT. It adds 87 tokens to every session and 1,734 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 2026-08-31.

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