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K-Ops: Skill for Claude Code

.claude/skills/ingest-sources/SKILL.md

ingest-sources is a skill for Claude Code from arnaudgelas/K-Ops. It costs 23 tokens per session (1,239 once invoked), scanned A, original, MIT.

A review step that turns already-downloaded source files into structured summary notes for a knowledge vault.

In plain words
What is it for?
It helps review normalized source text, create or update notes in `notes/Sources/`, and keep source details and provenance in the required format.
Why use it?
It keeps source notes consistent and preserves uncertainty or incomplete captures instead of hiding them. It also avoids re-fetching material that has already been collected.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

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 21d ago A scan 23 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/ingest-sources/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 ingest-sources

README.md
[![agentmods](https://agentmods.dev/badge/skills/arnaudgelas/k-ops/ingest-sources/github.svg)](https://agentmods.dev/skills/arnaudgelas/k-ops/ingest-sources)
Your own site
<a href="https://agentmods.dev/skills/arnaudgelas/k-ops/ingest-sources"><img src="https://agentmods.dev/badge/skills/arnaudgelas/k-ops/ingest-sources/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 ingest-sources

Your own site · 80×15
<a href="https://agentmods.dev/skills/arnaudgelas/k-ops/ingest-sources"><img src="https://agentmods.dev/badge/skills/arnaudgelas/k-ops/ingest-sources.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,239 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 $0.00023 $0.01239
Opus 5 $0.00012 $0.00620
Sonnet 5 $0.00005 $0.00248
Haiku 4.5 $0.00002 $0.00124

Measured 9d ago against content hash f50bc8409a13, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ingest-sources 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 9d 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/ingest-sources/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ingest Sources

Goal

Turn already-fetched raw source folders into structured source summary notes that the vault compiler can use.

Context

Mechanical fetching and normalization is handled by kops/ingest_sources.py via kb.py ingest. This skill covers the agent-driven step that follows: reading normalized content and writing or updating source summaries.

Inputs

  • data/registry.json - registry of all ingested sources
  • data/raw/<id>/normalized.md - normalized text for each source
  • data/raw/<id>/metadata.json - source metadata (URL, type, timestamps)
  • Existing notes/Sources/<id>.md if a prior summary exists

Output contract

  • Update only the source notes that need to change.
  • Preserve provenance and uncertainty explicitly.
  • Flag weak or incomplete captures instead of smoothing them over.

Required note shape

Frontmatter (all fields mandatory per config/schema.yaml):

  • source_id (canonical src-[0-9a-f]{10})
  • title
  • source_url
  • source_kind (must map to a canonical schema value): arxiv-paper | paper-pdf | github-repo-snapshot | github-file | official-doc | spec | blog | news | local-file | imported-model-report | citation-stub
  • evidence_strength (must map to a canonical schema value): primary-doc | primary-doc-partial | official-spec | strong | code | maintainer-commentary | changelog | pr-issue | secondary | model-generated | stub | citation-only | image-only
  • source_status (defaults to active)
  • ingested_at (ISO-8601 date, e.g. 2026-06-14T10:53:44Z)
  • tags (must include kb/source)

Kind-Specific Required Frontmatter:

  • arxiv-paper: authors, arxiv_id, published_date, abstract
  • paper-pdf: page_count
  • github-repo-snapshot: git_commit, branch, tracked_file_count, sampled_file_count
  • github-file: github_url, git_commit
  • official-doc: organization
  • spec: organization, version, status

Strong PDF / Imported Report Constraints:

  • PDF Coverage: Any PDF source (paper-pdf, arxiv-paper, or URL ending in .pdf) with strong evidence strength (primary-doc, strong, official-spec) MUST include extraction_coverage metadata in its frontmatter (e.g. extraction_coverage: 1.0).
  • Imported Report: If kind is imported-model-report, set authority: lead_only, verification_state: needs_primary_sources, evidence_strength: secondary.
  • Imported Citation Stub: If kind is citation-stub, set canonical_url: "<url>", authority: lead_only, verification_state: needs_fetch, evidence_strength: stub.

Read the full file on GitHub · 91 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. 9d ago First seen · 91 lines · 23 tokens per session scan A f50bc8409a13

Subscribe to this mod's changes

ingest-sources is a skill published in the GitHub repository arnaudgelas/K-Ops (1 stars, last pushed 21d ago), licensed MIT. It adds 23 tokens to every session and 1,239 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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