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K-Ops: Skill for Claude Code

.claude/skills/research-workflow/SKILL.md

research-workflow is a skill for Claude Code from arnaudgelas/K-Ops. It costs 29 tokens per session (788 once invoked), scanned A, original, MIT.

A workflow for running structured research projects as resumable steps outside the main knowledge vault. It covers collecting sources, critical review, reporting, importing outside reports, and archiving finished runs.

In plain words
What is it for?
It helps start and monitor research runs, invoke collection or review agents, draft reports, import external reports with their origin recorded, and archive completed work.
Why use it?
It keeps unfinished research organized and recoverable, while treating outside reports as leads that still need verification rather than as established facts.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions Codex.

This is arnaudgelas/K-Ops's own configuration. It tells Claude Code how to work on K-Ops itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything K-Ops configures →

not rated 1repo 18d ago A scan 29 tokens original MIT
View source ↗ arnaudgelas/K-Ops
Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/arnaudgelas/K-Ops/main/.claude/skills/research-workflow/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/arnaudgelas/K-Ops

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-workflow

README.md
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<a href="https://agentmods.dev/skills/arnaudgelas/k-ops/research-workflow"><img src="https://agentmods.dev/badge/skills/arnaudgelas/k-ops/research-workflow.svg" alt="Measured on agentmods" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 788 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 $0.00029 $0.00788
Opus 5 $0.00015 $0.00394
Sonnet 5 $0.00006 $0.00158
Haiku 4.5 $0.00003 $0.00079

Measured 6d ago against content hash 563e36cafa2c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

research-workflow 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 6d 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.

.claude/skills/research-workflow/SKILL.md · 45 lines

How it starts

The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Workflow

Goal

Run higher-stakes topics as resumable, tiered research threads outside the curated vault until they are ready to promote.

Use When

  • The user wants a structured research run rather than an immediate vault answer.
  • A topic needs source collection, contrarian review, and a final report.
  • An external model report should be imported as a lead, not treated as authority.

Core Flow

  1. Start a run: uv run kops research-start --topic "<text>" --tier <fast|standard|deep>.
  2. Check status: uv run kops research-status [topic|all].
  3. Collect sources: uv run kops research-collect --agent <codex|claude|gemini> --topic "<topic>" (runs collect prompt).
  4. Adversarial review: uv run kops research-review --agent <codex|claude|gemini> --topic "<topic>" (runs review prompt).
  5. Draft report: uv run kops research-report --agent <codex|claude|gemini> --topic "<topic>" (runs report prompt).
  6. Import external reports: uv run kops research-import --topic "<topic>" --path <file> --provider <provider> --origin <origin>.
  7. Archive completed run: uv run kops research-archive --topic "<topic>" (after phase shows done).

Phase Guidance

The research-collect, research-review, and research-report CLI subcommands render their own runtime prompts (from kops/templates/), so no separate skill is needed. When running or reviewing a phase by hand, hold to these contracts:

  • Collect (research-collect): populate the findings file with high-signal, sourced claims. Create/update source notes in notes/Sources/ under the strict metadata schemas; prefer primary sources; mark imported model reports authority: lead_only + verification_state: needs_primary_sources. Distinguish evidence from inference; keep uncertainty explicit; append a progress log.
  • Review (research-review): adversarial contrarian pass — try to break the thesis, not confirm it. Populate ## Strongest Objections, ## Missing Evidence, ## Claims To Soften with genuine gaps (never fabricated counter-evidence); name missing primary sources to consult before drafting.
  • Report (research-report): synthesize brief + sources + findings + contrarian review into a bounded report. Build from collected evidence only, address the strongest objections, keep conclusions bounded by evidence, cite source summaries with wikilinks, and distinguish established from provisional findings.

Read the full file on GitHub · 45 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. 6d ago First seen · 45 lines · 29 tokens per session scan A 563e36cafa2c

Subscribe to this mod's changes

research-workflow is a skill published in the GitHub repository arnaudgelas/K-Ops (1 stars, last pushed 18d ago), licensed MIT. It adds 29 tokens to every session and 788 once invoked, about $0.0001 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.

Claude CodeResearchai-agentscodex-cliknowledge-baseobsidianpkm
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