evidence-assemble

evidence-assemble is a skill for Claude Code, Codex from microsoft/cat-agent-skills. It costs 173 tokens per session (1,312 once invoked), scanned A, original, MIT.

A cited collection of clinical-record evidence for answering a healthcare claim denial. A claim denial is a payer's refusal to pay for billed care; this tool links the relevant notes and dates to the stated denial reason and records gaps.

In plain words
What is it for?
It helps gather chart notes, dates, billed-code support, and other documented facts for a medical-necessity or coding-related appeal.
Why use it?
Appeals can fail when the supporting evidence is scattered or does not directly address the denial. This organizes what the record does and does not support without making the evidence look stronger than it is.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit It helps gather chart notes, dates, billed-code support, and other documented facts for a medical-necessity or coding-related appeal.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/microsoft/cat-agent-skills/evidence-assemble
About the project

microsoft/cat-agent-skills is a static website that catalogs reusable instruction sets and related packages for AI agents. People use it to search, filter, rate, and download skills for Cowork, Copilot Studio, and Scout, along with Copilot plugins and Scout automations. The catalogue entries are the skills, instructions, plugins, and settings displayed by the site.

microsoft/cat-agent-skills · 101 stars · on GitHub

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 microsoft/cat-agent-skills --skill evidence-assemble
Clone the repo
git clone --depth 1 https://github.com/microsoft/cat-agent-skills

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 evidence-assemble

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/evidence-assemble/github.svg)](https://agentmods.dev/skills/microsoft/cat-agent-skills/evidence-assemble)
Your own site
<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/evidence-assemble"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/evidence-assemble/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 evidence-assemble

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/evidence-assemble"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/evidence-assemble.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 173 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,312 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 $0.00173 $0.01312
Opus 5.5 $0.00069 $0.00525
Sonnet 5.5 $0.00035 $0.00262
Haiku 4.5 $0.00017 $0.00131

Measured 2d ago against content hash 765c34c93198, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

evidence-assemble 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 2d 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.

submissions/denials-appeals-response/evidence-assemble/SKILL.md · 47 lines

How it starts

The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Evidence Assemble

Purpose

Build the cited evidence base the appeal will rely on.

When to use

Use after policy-retrieve and before deadline-track and appeal-draft - typical asks are "pull the chart evidence for this appeal", "does the documentation support the billed code", "what in the record answers this denial".

When NOT to Use

Do NOT use when: no policy clause has been retrieved yet (the evidence has nothing to answer) - use policy-retrieve first; the ask is to read a remittance or classify a denial - use denial-classify instead; the ask is to interpret payer policy - use policy-retrieve instead; the ask is to compose the appeal letter - use appeal-draft instead; the ask is to approve or apply a coding change - use deadline-track instead (it enforces that boundary, and no skill applies codes); or the ask is to make the evidence "look stronger" than the chart supports - that is out of bounds, not a task.

Inputs

The clinical record, read through [TO CONFIGURE: clinical record source / EHR connector] with the session's file or connector tool (until it is configured, only the chart_evidence already on the contract is available); original claim and coding; the denial reason; the retrieved policy clause; coding_request (if any).

Steps

  1. Read the denial reason and the retrieved policy clause to fix what the evidence has to answer, and name the code being defended: the coding_request's requested code if one exists, otherwise the billed original_code.
  2. Gather the clinical notes/results that speak to that question from the configured record source, including any that weaken the appeal.
  3. Record each one in chart_evidence.citations[] with note, date, supports_code and a short verbatim excerpt.
  4. Set chart_evidence.supports_requested_code true only when a citation in that list names a specific note and date whose supports_code is the code named in step 1; otherwise leave it false.
  5. Compare the clause's setting or service type with the claim's (e.g. an inpatient-observation clause against an office E/M code) and record any mismatch as a gap.
  6. Hand off to deadline-track (coding decision and clock) and then appeal-draft.

Read the full file on GitHub · 47 lines

Files

What ships with it

3 files 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. 2d ago First seen · 47 lines · 173 tokens per session scan A 765c34c93198

Subscribe to this mod's changes

evidence-assemble is a skill published in the GitHub repository microsoft/cat-agent-skills (101 stars, last pushed yesterday), licensed MIT. It adds 173 tokens to every session and 1,312 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-11-06.

Related

evidence-assemble compared with skills from other repositories

evidence-assemble next to 6 skills from other repositories
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