Evidence Citations

OrganizationPopular

Prismer-AI

evidence-citations

Build source-backed research answers and documents with a task-isolated citation ledger, verified quotations, and explicit evidence gaps.

Overview

Publisher	Prismer-AI
Repository	`PrismerCloud`
Skill name	`evidence-citations`
Stars	1.6K
Forks	17
Bundled files	4
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Prismer-AI on GitHub. Read the source before you install it.

Installation

Install the Evidence Citations AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/evidence-citations
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/evidence-citations

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git /tmp/PrismerCloud
mkdir -p .claude/skills
cp -r /tmp/PrismerCloud/sdk/cloud/catalog/skills/evidence-citations .claude/skills/evidence-citations

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Evidence Citations in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Evidence Citations on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Evidence Citations is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Evidence Citations

Use for research, comparisons, reports, and factual document generation. Retrieve through the available ingest/browser tools; a URL alone is not evidence. Read the actual source and distinguish its claims from your inference.

Resolve scripts/sources.py relative to this installed skill directory. Always pass an absolute, task-specific --ledger <scratch-dir>/citations.json. For Hermes, obtain the current scratch directory from execution context. Never reset a profile-global ledger or another task's ledger. Resume an existing ledger when continuing the same task.

Register retrieved URLs with sources.py --ledger <path> add <url> --title <title>.
Store fetched text in task scratch. Attach exact supporting quotations with quote <id> --text <quote> --from <source-file>; fabricated quotes fail.
Write a Markdown draft using the returned numeric citation IDs. Unknown facts stay unresolved; preserve contradictory sources.
Append the source list from render --cited-in <draft> to the draft.
Run verify <draft> --strict --evidence. This checks citation consistency and attached quotations, not whether a source is truthful or entails a claim. Add --min-coverage 1 when every claim needs declared provenance; CJK claims are counted, and an unmeasurable draft fails rather than reporting coverage. Only numeric [n] Markdown is verified; footnotes/LaTeX require their own checks.
For PKF, map verified ledger URLs to the citation format in pkf-writing; run the PKF validator separately. Do not claim the Markdown checker validates PKF.
Deliver requested files through assets/office-artifacts and cloud deliver. A short chat answer can cite the same verified sources inline.

No credentials are needed by the ledger. Missing retrieval tools are a coverage blocker, not a reason to fabricate sources. See references/citation-formats.md and references/grounding-rationale.md for background; this task-isolation and Prismer delivery contract takes precedence over upstream host-specific examples.

render --replace-in replaces only one unambiguous terminal Sources section and writes atomically. Fenced examples remain untouched; a non-terminal or duplicate heading fails without modifying the draft. A lock timeout is a failure, not permission to delete another writer's lock or continue without exclusivity.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Evidence Citations AI skill do?

Build source-backed research answers and documents with a task-isolated citation ledger, verified quotations, and explicit evidence gaps.

Why use Evidence Citations on TypingMind?

Because you install it once and use it with any model. Evidence Citations is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Evidence Citations in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/evidence-citations. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Evidence Citations?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Evidence Citations?

As many as you like. As long as a model supports skills, you can use Evidence Citations with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Evidence Citations AI skill free?

Yes. It is published on GitHub by Prismer-AI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Evidence Citations

Bundled files

Frequently asked questions

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