Octop is a self-hosted, multi-user AI assistant that runs multiple specialized agents and connects them to chat interfaces, tools, and external services. It is for individuals, families, and teams who want a locally operated assistant with shared experts and persistent capabilities. Catalogue add-ons extend its agent and assistant workflows.
Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/tencentcloud/octop/task-management)<a href="https://agentmods.dev/skills/tencentcloud/octop/task-management"><img src="https://agentmods.dev/badge/skills/tencentcloud/octop/task-management/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/skills/tencentcloud/octop/task-management"><img src="https://agentmods.dev/badge/skills/tencentcloud/octop/task-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.00647 |
| Opus 5.5 | $0.00015 | $0.00259 |
| Sonnet 5.5 | $0.00007 | $0.00129 |
| Haiku 4.5 | $0.00004 | $0.00065 |
Grade A, and why
task-management 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.
This is a copy
100% identical to task-management — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Task Management
Tasks are tracked in a simple TASKS.md file that both you and the user can edit.
File Location
Always use TASKS.md in the current working directory.
- If it exists, read/write to it
- If it doesn't exist, create it with the template below
Dashboard Setup (First Run)
A visual dashboard is available for managing tasks and memory. On first interaction with tasks:
- Check if
dashboard.htmlexists in the current working directory - If not, copy it from
${CLAUDE_PLUGIN_ROOT}/skills/dashboard.htmlto the current working directory - Inform the user: "I've added the dashboard. Run
/productivity:startto set up the full system."
The task board:
- Reads and writes to the same
TASKS.mdfile - Auto-saves changes
- Watches for external changes (syncs when you edit via CLI)
- Supports drag-and-drop reordering of tasks and sections
Format & Template
When creating a new TASKS.md, use this exact template (without example tasks):
# Tasks
## Active
## Waiting On
## Someday
## Done
Task format:
- [ ] **Task title** - context, for whom, due date- Sub-bullets for additional details
- Completed:
- [x] ~~Task~~ (date)
How to Interact
When user asks "what's on my plate" / "my tasks":
- Read TASKS.md
- Summarize Active and Waiting On sections
- Highlight anything overdue or urgent
When user says "add a task" / "remind me to":
- Add to Active section with
- [ ] **Task**format - Include context if provided (who it's for, due date)
When user says "done with X" / "finished X":
- Find the task
- Change
[ ]to[x] - Add strikethrough:
~~task~~ - Add completion date
- Move to Done section
When user asks "what am I waiting on":
- Read the Waiting On section
- Note how long each item has been waiting
Conventions
- Bold the task title for scannability
- Include "for [person]" when it's a commitment to someone
- Include "due [date]" for deadlines
- Include "since [date]" for waiting items
- Sub-bullets for additional context
- Keep Done section for ~1 week, then clear old items
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.
- 9d ago First seen · 92 lines · 37 tokens per session scan A db1320873d68
task-management is a skill published in the GitHub repository TencentCloud/Octop (10,935 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 647 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to task-management, differing in 0 lines, and is treated as a copy.
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