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Agent skill

Abridge Performance Tuning

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Measure and improve Abridge workflow latency and friction using privacy-safe health-system evidence.

MITAuto-check passedResearch & Science

Install Abridge Performance Tuning

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill abridge-performance-tuning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace abridge-performance-tuning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/abridge-performance-tuning .claude/skills/abridge-performance-tuning && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
abridge-performance-tuning
GitHub stars
2.8k
Token cost
~1.2k tokens
SKILL.md length
507 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Measure and improve Abridge workflow latency and friction using privacy-safe health-system evidence.

  • Works in 6 steps: Define the cohort, stage boundaries,… → Use Read, Glob, and Grep to inspect… → Measure stage distributions and failure… → …
  • Clinicians report slow capture
  • SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Abridge Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Measure and improve Abridge workflow latency and friction using privacy-safe health-system evidence. Use when clinicians report slow capture, note readiness, review, or EHR handoff. Trigger with "measure Abridge performance".

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Designed for Claude Code; live work requires an authorized Abridge tenant, approved test data, and health-system change authority

It sits in Research & Science, covering Clinical and healthcare research. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Clinicians report slow capture
  • With measure Abridge performance

Example prompts

  • “measure Abridge performance”
  • “/abridge-performance-tuning”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code; live work requires an authorized Abridge tenant, approved test data, and health-system change authority
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, WebFetch, Write, Edit

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Define the cohort, stage boundaries, clock source, sampling policy, privacy threshold, and approved service objectives.
  2. Use Read, Glob, and Grep to inspect instrumentation and dashboards for identifiers or note content that must be removed.
  3. Measure stage distributions and failure rates, not only averages; stratify by device, location, care setting, and workflow version when…
  4. Correlate slow paths with network and device conditions, review edits, downstream EHR behavior, and support events.
  5. Use WebFetch only for current official workflow guidance; never convert marketing or support examples into an SLA.
  6. Use Write or Edit to add bounded instrumentation or publish an experiment with rollback and success criteria.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep
    • WebFetch
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code; live work requires an authorized Abridge tenant, approved test data, and health-system change authority

    From compatibility in the SKILL.md frontmatter.

Context cost

Abridge Performance Tuning loads about 1.2k tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 507 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 507 words, ~1,220 tokens.

Download SKILL.mdSave it as .claude/skills/abridge-performance-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
abridge-performance-tuning
description
Measure and improve Abridge workflow latency and friction using privacy-safe health-system evidence. Use when clinicians report slow capture, note readiness, review, or EHR handoff. Trigger with "measure Abridge performance".
allowed-tools
Read, Glob, Grep, WebFetch, Write, Edit
compatibility
Designed for Claude Code; live work requires an authorized Abridge tenant, approved test data, and health-system change authority
argument-hint
[cohort] [time-window] [workflow-stage]
version
1.5.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, abridge, performance, workflow-metrics, clinical-operations
model
inherit
effort
high

Abridge Clinical Workflow Performance Study

Overview

Measure the stages users experience instead of imposing invented API latency targets. Separate device and network conditions, capture duration, processing wait, review effort, and EHR handoff while protecting patient and clinician identity.

Prerequisites

  • The authorized Abridge environment, clinical owner, and health-system policy set
  • Current tenant-specific implementation evidence for every private interface in scope
  • Synthetic data or the organization's formally approved test-record procedure

Tool Discipline

Use Read, Glob, and Grep to inspect repository configuration, adapters, tests, policies, and existing evidence. Use WebFetch only for current official Abridge, HHS, or named EHR documentation. Use Write or Edit only after confirming scope, environment, owners, patient-data boundary, and approval state. These tools do not confer access to Abridge, an EHR, or a clinical record; return exact operator steps or an approval-gated handoff for live actions.

Current Contract

  • Official recording guidance identifies connectivity, microphone contention, device placement, and Bluetooth use as factors in capture quality and processing experience.
  • Abridge's Redraft support page documents a user-visible regeneration workflow, but one published timing is not a universal service-level objective.
  • Local baselines and signed service commitments control operational thresholds.

Authentication

Use only the health system's provisioned Abridge application access, SSO, administrative role, or tenant-specific partner authentication documented for the approved environment. Do not infer public API credentials, reuse production secrets in tests, or expose tokens and session material. Verify identity owner, least privilege, environment binding, storage, rotation, and revocation before any authenticated action.

Instructions

  1. Define the cohort, stage boundaries, clock source, sampling policy, privacy threshold, and approved service objectives.
  2. Use Read, Glob, and Grep to inspect instrumentation and dashboards for identifiers or note content that must be removed.
  3. Measure stage distributions and failure rates, not only averages; stratify by device, location, care setting, and workflow version when safe.
  4. Correlate slow paths with network and device conditions, review edits, downstream EHR behavior, and support events.
  5. Use WebFetch only for current official workflow guidance; never convert marketing or support examples into an SLA.
  6. Use Write or Edit to add bounded instrumentation or publish an experiment with rollback and success criteria.
Show full SKILL.md (155 more words)Show less

Approval Boundaries

Do not capture audio, transcript, note text, patient identifiers, or individual productivity rankings in performance telemetry.

Output

Return stage definitions, percentile distributions, failure rates, cohort caveats, suspected boundary, experiment, rollback, and owner. Separate verified facts, tenant-specific evidence, assumptions, and actions still awaiting approval.

Error Handling

ConditionResponse
Stage clocks are incomparableRepair instrumentation before drawing conclusions.
Small cohort risks identificationAggregate or extend the window.
Optimization reduces review qualityRoll back immediately and notify the clinical owner.

Example

The example is a redacted operational receipt, not patient data or proof of vendor certification.

text
stage=note-ready-to-reviewed; cohort=outpatient-aggregate; p50=local-baseline; p95=regressed; phi=none; experiment=network-path-check

Resources

Read the source map before changing a workflow. Recheck tenant-specific implementation evidence for every interface or capability that public documentation does not define.

Next Steps

Revalidate the evidence date and tenant-specific authority before repeating this workflow in another environment, cohort, care setting, or integration mode.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/abridge-performance-tuning of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/official-docs.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Abridge Performance Tuning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Abridge Performance Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Abridge Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: PassMIT
Clinical Trials Databasegoogle-deepmind/science-skills3.2k2 repos~3.2kAutomated safety check: PassApache-2.0
CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw6171 repos~1.8kAutomated safety check: PassNone
Biomedical Analysis Dispatchxjtulyc/MedgeClaw6171 repos~2kAutomated safety check: PassNone
Research Paperluwill/research-skills862—~1.9kAutomated safety check: PassNone
Research Proposalluwill/research-skills862—~4.5kAutomated safety check: NotesNone

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Categories

Questions about Abridge Performance Tuning

What does Abridge Performance Tuning do?

Measure and improve Abridge workflow latency and friction using privacy-safe health-system evidence. Abridge Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Measure and improve Abridge workflow latency and friction using privacy-safe health-system evidence.

When should I use Abridge Performance Tuning?

Abridge Performance Tuning fits situations like: clinicians report slow capture; with measure Abridge performance.

How do I install Abridge Performance Tuning in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill abridge-performance-tuning -a claude-code`. Or copy the skill folder (skills/.curated/abridge-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/abridge-performance-tuning in your project. Claude Code loads it when a task matches its description.

How do I install Abridge Performance Tuning in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill abridge-performance-tuning -a codex`. Or copy the skill folder (skills/.curated/abridge-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/abridge-performance-tuning in your project. Codex loads it when a task matches its description.

Can I use Abridge Performance Tuning in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill abridge-performance-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/abridge-performance-tuning, .gemini/skills/abridge-performance-tuning, .github/skills/abridge-performance-tuning and .opencode/skills/abridge-performance-tuning in your project.

What does Abridge Performance Tuning need to run?

SKILL.md names no scripts, command-line tools or credentials: Abridge Performance Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, WebFetch, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; live work requires an authorized Abridge tenant, approved test data, and health-system change authority.

Does Abridge Performance Tuning access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Abridge Performance Tuning safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Abridge Performance Tuning use?

Abridge Performance Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Abridge Performance Tuning use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 425 tokens, read only when the agent opens those files.

What are the alternatives to Abridge Performance Tuning?

Skills that share tags, products or a category with Abridge Performance Tuning: Clinical Trials Database (google-deepmind/science-skills, 3.2k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars) and Research Paper (luwill/research-skills, 862 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Abridge Performance Tuning?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.