Borrowing it
Nothing to install: this file belongs to arnaudgelas/K-Ops. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/arnaudgelas/K-Ops/main/.claude/commands/research_collect.mdgit clone --depth 1 https://github.com/arnaudgelas/K-OpsWrote 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/commands/arnaudgelas/k-ops/research_collect)<a href="https://agentmods.dev/commands/arnaudgelas/k-ops/research_collect"><img src="https://agentmods.dev/badge/commands/arnaudgelas/k-ops/research_collect.svg" alt="Measured on agentmods" 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 | $0.00002 | $0.01065 |
| Opus 5 | $0.00001 | $0.00532 |
| Sonnet 5 | $0.00000 | $0.00213 |
| Haiku 4.5 | $0.00000 | $0.00106 |
Grade A, and why
research_collect 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 7d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Research Collect agent for this repository.
Goal:
- Gather primary sources for the active research run and convert them into a strong findings file.
Inputs:
- Research brief: research/briefs/-.md
- Status file: research/notes/-status.md
- Progress log: research/notes/-progress.md
- Findings file: research/findings/-.md
Instructions:
- Read orientation files first: Read the brief, status, progress log, and any existing findings or source notes.
- Search strategy: Search broadly first, then narrow to authoritative primary sources. Avoid citing commentary when primary documentation, official specs, or code is available.
- Write/Update Source Summaries:
- For any new source, write a summary in
notes/Sources/src-<id>.mdusing the canonical schema below. - For existing sources, update the file instead of creating duplicates.
- Use canonical
source_kindvalues:arxiv-paper | paper-pdf | github-repo-snapshot | github-file | official-doc | spec | blog | news | local-file | imported-model-report | citation-stub. - Use canonical
evidence_strengthvalues:primary-doc | official-spec | strong | code | maintainer-commentary | changelog | pr-issue | secondary | model-generated | stub | citation-only | image-only. - Populate kind-specific required fields in frontmatter.
- Ensure
extraction_coverageis populated for PDF sources with strong/official-spec/primary-doc strength (default:1.0). - For imported reports, ensure
authority: lead_only,verification_state: needs_primary_sources, andevidence_strengthis secondary. - For citation stubs, ensure
canonical_urlis set,authority: lead_only,verification_state: needs_fetch, andevidence_strengthis stub. - Ensure the required sections
## Reliability notesand## Candidate conceptsare present.
- For any new source, write a summary in
- Populate Findings File:
- Update
research/findings/<topic-slug>-<date>.md. Preserve its frontmatter (type:research-findings,topic_slug, etc.). - Populate
## Key Claimswith atomic findings, citing the corresponding source summaries with inline wikilinks([[Sources/src-<id>|src-<id>]]). - Populate
## Evidencewith links to the source summaries, explaining what each contributes. - Populate
## Open Questionswith gaps, contradictions, or unresolved questions.
- Update
- Progress Log: Append a short progress update when done.
Reference: Source Summary Schema
---
title: "<Descriptive title of the source>"
type: source-summary
source_id: src-<10-character-hex-id>
source_url: "<source url or file path>"
source_kind: <canonical_source_kind>
evidence_strength: <evidence_strength>
source_status: active
ingested_at: <ISO-8601 date, e.g. 2026-06-14T10:53:44Z>
tags:
- kb/source
# --- Add kind-specific required fields below if applicable ---
# For arxiv-paper: authors, arxiv_id, published_date, abstract
# For paper-pdf: page_count
# For github-repo-snapshot: git_commit, branch, tracked_file_count, sampled_file_count
# For github-file: github_url, git_commit
# For official-doc: organization
# For spec: organization, version, status
# --- Add extraction_coverage if PDF (mandatory for strong/official-spec/primary-doc PDF sources) ---
# extraction_coverage: 1.0
---
## Summary
<2-4 sentence digest of what this source says and why it matters.>
## What this source is
<Detailed breakdown of the source, methodology, context, and focus areas.>
## Key claims
- <Atomic finding 1>
- <Atomic finding 2>
## Important evidence / details
- <Evidence detail with source-local anchors if available, e.g. page=12, line_start=20, line_end=35, path=src/utils.py>
## Candidate concepts
- <Concept candidates to promote>
## Open questions
- <Gaps, contradictions, or unresolved questions raised by this source>
## Reliability notes
<What this source does not cover, its methodology weaknesses, or why it might be wrong.>
## Related Concepts
- <Obsidian wikilinks to concepts, e.g., [[Concepts/ConceptName|ConceptName]]>
## Backlinks
- <Traceability backlinks>
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.
- 7d ago First seen · 108 lines · 2 tokens per session scan A 3d64984ff9a6
research_collect is a command published in the GitHub repository arnaudgelas/K-Ops (1 stars, last pushed 19d ago), licensed MIT. It adds 2 tokens to every session and 1,065 once invoked, about $0.0000 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.
Other commands, from other repositories
zotero-review
Read and analyze papers from a Zotero collection, then synthesize them into the bound Obsidian project knowledge base or markdown review outputs.
kb-links
Repair or strengthen wikilinks among canonical KB notes without generating extra artifact sprawl.
kb-promote
Promote durable content from Daily or source notes into canonical Knowledge, Experiments, Results, Results/Reports, or Writing notes.
wiki-query
Ask questions against the wiki. Synthesizes answers from wiki pages with cross-reference citations.
wiki-retro
Save an atomic insight from the current task into the wiki. Creates a single markdown file that layered recall surfaces in future sessions.
wiki-discover
Auto-discover new sources from the web. Searches based on config topics and known knowledge gaps.