research-status

research-status is a command for Claude Code from datacore-one/datacore. It costs 6 tokens per session (2,496 once invoked), scanned A, original, MIT.

A read-only command that checks the status of the research pipeline. It summarizes queues, Readwise items, recent podcasts, knowledge-base growth, and failed URLs.

In plain words
What is it for?
Use it to review pipeline health, inspect overnight results, monitor stored research growth, and identify follow-up actions.
Why use it?
It helps you decide whether to start processing, wait for the overnight run, or investigate failures without changing the research data.

Command for Claude Code

Written for Claude Code: a Claude Code command (commands/*.md).

Good fit Use it to review pipeline health, inspect overnight results, monitor stored research growth, and identify follow-up actions.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/datacore-one/datacore/research-status
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.

Clone the repo
git clone --depth 1 https://github.com/datacore-one/datacore

Made for: Claude Code.

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 research-status

README.md
[![agentmods](https://agentmods.dev/badge/commands/datacore-one/datacore/research-status/github.svg)](https://agentmods.dev/commands/datacore-one/datacore/research-status)
Your own site
<a href="https://agentmods.dev/commands/datacore-one/datacore/research-status"><img src="https://agentmods.dev/badge/commands/datacore-one/datacore/research-status/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.

agentmods 80×15 button for research-status

Your own site · 80×15
<a href="https://agentmods.dev/commands/datacore-one/datacore/research-status"><img src="https://agentmods.dev/badge/commands/datacore-one/datacore/research-status.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 6 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,496 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.
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 $0.00006 $0.02496
Opus 5.5 $0.00002 $0.00998
Sonnet 5.5 $0.00001 $0.00499
Haiku 4.5 $0.00001 $0.00250

Measured 1mo ago against content hash f9cb8ef5e4b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

research-status 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.

.datacore/modules/research/commands/research-status.md · 375 lines

How it starts

The opening of the file, as written. The whole thing — 375 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/research-status

Command Context

When to Reference Research Module

Always reference when:

  • Checking morning research pipeline health
  • Before triggering manual processing with /research-daily
  • Reviewing overnight nightshift results
  • Monitoring knowledge base growth trends
  • Diagnosing research processing issues

Key decisions this command informs:

  • Whether to process pending items immediately or wait for nightshift
  • Which focus areas need more research attention
  • If URL failures need manual intervention
  • Whether podcast generation is working correctly

Quick Reference

Question Answer
What does this show? Queue counts, Readwise items, recent podcasts, knowledge base growth
What files does it read? research_learning.org, podcasts/, literature/, zettel/, industry-landscape.yaml
Does it modify anything? Can import Readwise items to research_learning.org if user confirms
What follow-up actions? Import Readwise, /research-daily, retry failed URLs

Agents This Command Invokes

None - this is a read-only status command that scans files and presents summaries.

Integration Points

  • research_learning.org - Scans for TODO/DONE counts per section
  • Readwise Reader API - Checks for archived items ready to import
  • Podcast directory - Lists recent audio files with metadata
  • Knowledge directories - Counts literature notes and zettels
  • industry-landscape.yaml - Counts landscape entries
  • /research-daily - Suggested as follow-up action for pending items
  • Nightshift status - May reference /nightshift-status for diagnostics

View research queue, recent podcasts, and processing statistics.

When to Use

  • Morning check on research pipeline status
  • Before triggering manual processing
  • Reviewing what was processed overnight
  • Checking industry landscape growth

Workflow

Step 1: Gather Status

Scan the following sources:

  • research_learning.org - Count TODO/DONE items per section
  • Readwise Reader API - Check for archived items (if configured)
  • 0-personal/content/podcasts/ - List recent podcasts
  • 0-personal/notes/2-knowledge/literature/ - Count literature notes
  • 0-personal/notes/2-knowledge/zettel/ - Count zettels
  • industry-landscape.yaml - Count entries

Read the full file on GitHub · 375 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. 1mo ago Changed f9cb8ef5e4b6
  2. 2mo ago First seen · 375 lines · 6 tokens per session scan A 1697fef1ba86

Subscribe to this mod's changes

research-status is a command published in the GitHub repository datacore-one/datacore (4 stars, last pushed yesterday), licensed MIT. It adds 6 tokens to every session and 2,496 once invoked, about $0.0000 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 2026-09-03.

Related

research-status compared with commands from other repositories

research-status next to 6 commands from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
research-statusdatacore-one/datacoreCommand4yesterdayMITA6Claude Code
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checkpointsliamh11/DeusCommand512d agoMITA0Claude Code
preservesliamh11/DeusCommand512d agoMITA0Claude Code
statuslinxule/memex-pluginCommand72d agoMITA15Claude Code
openlinxule/memex-pluginCommand72d agoMITA11Claude Code