qual-ingest

qual-ingest is a skill for Claude Code, Codex from linxule/interpretive-orchestration. It costs 0 tokens per session (1,202 once invoked), scanned A, original, no licence file.

An import tool for qualitative research data. It turns interview recordings, PDF files, and other documents into Markdown files that can be analyzed.

In plain words
What is it for?
Use it to bring interview audio and documents into a consistent, readable format for qualitative analysis.
Why use it?
It removes the need to prepare each source manually before analysis.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to bring interview audio and documents into a consistent, readable format for qualitative analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/linxule/interpretive-orchestration/qual-ingest
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.

Any agent
npx skills add linxule/interpretive-orchestration --skill qual-ingest
Clone the repo
git clone --depth 1 https://github.com/linxule/interpretive-orchestration

Made for: Claude Code, Codex.

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 qual-ingest

README.md
[![agentmods](https://agentmods.dev/badge/skills/linxule/interpretive-orchestration/qual-ingest.svg)](https://agentmods.dev/skills/linxule/interpretive-orchestration/qual-ingest)
Your own site
<a href="https://agentmods.dev/skills/linxule/interpretive-orchestration/qual-ingest"><img src="https://agentmods.dev/badge/skills/linxule/interpretive-orchestration/qual-ingest.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,202 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 unknown 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 $0.00000 $0.01202
Opus 5 $0.00000 $0.00601
Sonnet 5 $0.00000 $0.00240
Haiku 4.5 $0.00000 $0.00120

Measured 8d ago against content hash 1f1f9c653ca9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

qual-ingest 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 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/process_documents.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugin-kimi/.agents/skills/qual-ingest/SKILL.md · 171 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 8d ago First seen · 171 lines · 0 tokens per session scan A 1f1f9c653ca9

Subscribe to this mod's changes

qual-ingest is a skill published in the GitHub repository linxule/interpretive-orchestration (17 stars, last pushed 1mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 1,202 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 2026-08-30.

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