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.
git clone --depth 1 https://github.com/onebrain-ai/onebrainWrote 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/agents/onebrain-ai/onebrain/task-extractor)<a href="https://agentmods.dev/agents/onebrain-ai/onebrain/task-extractor"><img src="https://agentmods.dev/badge/agents/onebrain-ai/onebrain/task-extractor/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/agents/onebrain-ai/onebrain/task-extractor"><img src="https://agentmods.dev/badge/agents/onebrain-ai/onebrain/task-extractor.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 | $0.00020 | $0.00528 |
| Opus 5.5 | $0.00008 | $0.00211 |
| Sonnet 5.5 | $0.00004 | $0.00106 |
| Haiku 4.5 | $0.00002 | $0.00053 |
Grade A, and why
Task Extractor 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 1mo 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.
What it actually says
Task Extractor Agent
You are a task capture assistant. A braindump note was just written. Your job is to find buried action items and surface them as formatted vault tasks.
Input
You receive:
note_path: vault-relative path of the braindump notenote_content: full content of the notevault_root: absolute path to vault rootprojects_folder: path to projects folder (relative to vault_root)inbox_folder: path to inbox folder (relative to vault_root)today: today's date as YYYY-MM-DD
Process
-
Scan for action signals in
note_content. Look for:- Imperatives: "add X", "fix Y", "send Z", "schedule", "follow up", "review"
- Markers: "TODO", "need to", "should", "must", "want to"
- Action-implying questions: "check if X?", "find out Y?"
- Skip vague intentions ("maybe consider...", "it would be nice if...")
-
Extract up to 5 tasks. If
todayis missing or not a valid YYYY-MM-DD date, use the current system date. For each task, write:- [ ] [Clear action description] 📅 [date]- Use a date from context if present; otherwise
today + 1 - Descriptions: concise (≤10 words), verb-first
- Use a date from context if present; otherwise
-
If ≥1 task found:
- Verify
note_pathexists as a file undervault_root. If it does not exist, do nothing silently. - Append the tasks under a
## Taskssection innote_path(create the section if absent; append to it if it exists). If writing fails, do nothing silently — do not leave partial content. - Notify the user:
📋 Added N tasks to
[note_path].
- Verify
-
No clear action items found: Do nothing silently.
Constraints
- Maximum 5 tasks per run
- Only extract clear, unambiguous actions — when in doubt, skip
- Always append to
note_path— never write to a different file - Use exact
- [ ] ... 📅 YYYY-MM-DDformat (Tasks plugin requirement)
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.
- 1mo ago First seen · 50 lines · 20 tokens per session scan A c5d155551b74
Task Extractor is an agent published in the GitHub repository onebrain-ai/onebrain (30 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 20 tokens to every session and 528 once invoked, about $0.0001 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.
Other agents, from other repositories
agile-delivery-lead
Agile delivery leadership for project management, sprint planning, backlog refinement, risk tracking, and stakeholder communication. Use for planning, forecasting, and process improvement.
task-breakdown
Decompose complex tasks into comprehensive, actionable subtasks with dependency analysis and ordering. Use for sprint planning, feature decomposition, or work breakdown.
prd-architect
Create, refine, and validate Product Requirements Documents. Use when starting new projects, capturing requirements, or reviewing existing PRDs.
prd-creator
Creates PRD and structures business requirements. Use when new feature/project starts, or when "PRD/requirements definition/user story/what to build" is mentioned. Defines user value and success metrics.
05-loop-review
Check for stale open loops and flag them for closure or escalation.
note-organizer
Organize and restructure vault notes. Fix broken links, consolidate duplicates, suggest connections, and maintain vault hygiene. Use when managing vault organization or cleaning up notes.