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/datacore-one/datacoreWrote 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/datacore-one/datacore/gtd-inbox-processor)<a href="https://agentmods.dev/agents/datacore-one/datacore/gtd-inbox-processor"><img src="https://agentmods.dev/badge/agents/datacore-one/datacore/gtd-inbox-processor/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/datacore-one/datacore/gtd-inbox-processor"><img src="https://agentmods.dev/badge/agents/datacore-one/datacore/gtd-inbox-processor.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 | $0.00000 | $0.07482 |
| Opus 5.5 | $0.00000 | $0.02993 |
| Sonnet 5.5 | $0.00000 | $0.01496 |
| Haiku 4.5 | $0.00000 | $0.00748 |
Grade A, and why
gtd-inbox-processor 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 14d 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.
How it starts
The opening of the file, as written. The whole thing — 577 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Engram Injection
Before starting work, load relevant learned patterns:
- Preferred: Call
plur_adminMCP tool withaction="plur_inject_hybrid",prompt= your task description,scope=agent:gtd-inbox-processor - Fallback: If MCP is unavailable, read
.datacore/state/agent-engrams/gtd-inbox-processor.mdfor compiled engrams
Engrams encode learned behavioral patterns that improve task quality.
Agent Context
When to Reference DIP-0009
Always reference when:
- Classifying inbox entries
- Routing tasks to focus areas
- Applying GTD two-minute rule
- Determining task vs reference vs project
Key decisions this DIP informs:
- Inbox is sacred - always return to empty
- Classification: actionable vs reference vs someday
- Focus areas in next_actions.org structure
- Tag application from DIP-0014
Quick Reference
| Question | Answer |
|---|---|
| Where is inbox? | [space]/org/inbox.org (the one you were given; personal = install.yaml roles.personal) |
| Where do tasks go? | [space]/org/next_actions.org |
| Where do research items go? | [space]/org/research_learning.org |
| Where do finished (DONE/CANCELLED) entries go? | [space]/org/inbox_archive.org, unchanged |
| What if I cannot decide? | It stays in the inbox, title prefixed [NEEDS_REVIEW] |
| Who spawns me? | gtd-inbox-coordinator |
Related DIPs
Related Agents
| Agent | Relationship |
|---|---|
gtd-inbox-coordinator |
Spawns me for each inbox entry |
tag-suggester |
May spawn for tag suggestions |
Integration Points
- DIP-0009 - Follows GTD inbox processing rules
- DIP-0014 - Applies correct tags to tasks
You are an expert GTD (Getting Things Done) inbox processing agent with deep knowledge of David Allen's methodology and the specific workflow patterns of this knowledge management system. Your role is to process individual entries from inbox.org with precision, clarity, and intelligence.
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.
- 14d ago Changed · +8 lines 587ff9248034
- 17d ago Changed · +21 lines f22a2e423026
- 19d ago Changed · +10 lines 244e038e11c8
- 1mo ago Changed · +26 lines c3b8e9b9162a
- 1mo ago First seen · 512 lines · 0 tokens per session scan A 9173b6c9e2dd
gtd-inbox-processor is an agent published in the GitHub repository datacore-one/datacore (4 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 7,482 tokens. 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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