Agent skill

Quality Signals

by hh-health-AI in hh-health-AI/healthcare-equity

This skill should be used when the user asks about "warning letters or 483s for [company]", "facility/inspection risk", "manufacturing risk on [TICKER]", "import alert exposure", "FAERS/MAUDE…

MITAuto-check passedEducation

Install Quality Signals

skills CLI
$ npx skills add hh-health-AI/healthcare-equity --skill quality-signals -a claude-code

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

GitHub CLI
$ gh skill install hh-health-AI/healthcare-equity quality-signals --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/hh-health-AI/healthcare-equity.git skills-src && mkdir -p .claude/skills && cp -r skills-src/modules/clinical-catalysts/skills/quality-signals .claude/skills/quality-signals && 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
quality-signals
GitHub stars
101
Token cost
~928 tokens
SKILL.md length
408 words
Files
1
Skills in repo
72
Repo updated
First seen
Licence
MIT

At a glance

This skill should be used when the user asks about "warning letters or 483s for [company]", "facility/inspection risk", "manufacturing risk on [TICKER]", "import alert exposure", "FAERS/MAUDE…

  • Works in 4 steps: Build the facility map from filings and… → Pull each site's enforcement state via… → Read the ladder, not the level:… → …
  • Asks about warning letters
  • SKILL.md covers Lane 1 — Facility / enforcement, Lane 2 — Product safety (FAERS… and Output & wiring
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Quality Signals is an agent skill from hh-health-AI/healthcare-equity. This skill should be used when the user asks about "warning letters or 483s for [company]", "facility/inspection risk", "manufacturing risk on [TICKER]", "import alert exposure", "FAERS/MAUDE signals", "recall risk", "is there a safety signal on [product]", or wants manufacturing-quality and post-market-safety evidence behind a thesis or a pending approval.

Its SKILL.md is about 930 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Education, covering Essays and academic help. The repository describes itself as: Synthesis engine for buy-side healthcare equity research. The licence is MIT.

When your agent uses it

  • Asks about warning letters
  • 483s for [company]
  • Facility/inspection risk
  • Manufacturing risk on [TICKER]

Example prompts

  • “warning letters or 483s for [company]”
  • “facility/inspection risk”
  • “manufacturing risk on [TICKER]”
  • “/quality-signals”

Workflow steps

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

  1. Build the facility map from filings and application disclosures: named manufacturing sites (own + CDMO), what each makes, and which…
  2. Pull each site's enforcement state via web research (FDA inspection classification database, warning-letter index, import-alert lists, EU…
  3. Read the ladder, not the level: transitions are the signal (VAI→OAI; OAI→import alert; the Intas one-year pattern). Classify citation…
  4. Translate per the CMC evidence row and crl-risk-rubric.md: enforcement moves launch probability, timing, capacity, capital — and for…

What it can do on your machine

Read from SKILL.md and the folder at commit 6c7bda8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    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.

Context cost

Quality Signals loads about 928 tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 408 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~928

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 hh-health-AI/healthcare-equity at commit 6c7bda8, republished under its MIT licence (© hh-health-AI). 408 words, ~928 tokens.

Download SKILL.mdSave it as .claude/skills/quality-signals/SKILL.md (or your agent's skills folder).
name
quality-signals
description
This skill should be used when the user asks about "warning letters or 483s for [company]", "facility/inspection risk", "manufacturing risk on [TICKER]", "import alert exposure", "FAERS/MAUDE signals", "recall risk", "is there a safety signal on [product]", or wants manufacturing-quality and post-market-safety evidence behind a thesis or a pending approval.
metadata.version
0.1.0

Quality Signals

Manufacturing-quality and post-market-safety evidence engine: translate enforcement and safety records into approval-risk, launch-delay, supply-disruption, and label-risk briefs. Mechanics reference: ${CLAUDE_PLUGIN_ROOT}/references/quality-escalation-ladder.md. Scope: enforcement research — not a QMS, supplier-risk graph, or inspection-readiness program.

Lane 1 — Facility / enforcement

  1. Build the facility map from filings and application disclosures: named manufacturing sites (own + CDMO), what each makes, and which pending applications list them. Concentration = single points of failure.
  2. Pull each site's enforcement state via web research (FDA inspection classification database, warning-letter index, import-alert lists, EU EudraGMDP non-compliance reports) — or via the Rhizome connector when installed (prefer it for document depth; carry its citation URLs). Record: latest classification (NAI/VAI/OAI), open 483 themes, warning-letter status and response state, import alerts, PAI history.
  3. Read the ladder, not the level: transitions are the signal (VAI→OAI; OAI→import alert; the Intas one-year pattern). Classify citation themes — governance (quality unit, OOS investigations, CAPA, complaints) vs technical — and flag data-integrity fingerprints as the severest class.
  4. Translate per the CMC evidence row and crl-risk-rubric.md: enforcement moves launch probability, timing, capacity, capital — and for pending applications, an OAI/unresolved-WL at a listed site is a named CRL channel. For revenue products: supply-disruption and shortage-share scenarios (who gains if this site stops shipping — cross-read to competitors).
Show full SKILL.md (203 more words)Show less

Lane 2 — Product safety (FAERS / MAUDE / recalls)

  1. For the product set, sweep FAERS (drugs) or MAUDE (devices) for adverse-event clusters and trajectory, plus the recall database and any REMS changes. Signal, never incidence — reporting biases and no denominators; say so in every brief.
  2. Devices: narrative-review MAUDE (no use-error code exists); separate use-error vs device-defect patterns (~2:1 in sampled autoinjector reads — see combination-products.md); watch complaint-handling/MDR citations as the enforcement echo. Recalls: class, root cause (software/connectivity now the dominant locus in connected devices), and shared-supplier contagion across brands.
  3. Drugs: case-count the specific patterns that move regulators — Hy's Law counts (see crl-risk-rubric.md), event clusters that historically produced boxed warnings — and treat any class member's safety event as a class repricing event (route to healthcare-equity thesis).

Output & wiring

End each lane's finding with the EVIDENCE BRIEF block (layer: regulatory or commercial as applicable) — enforcement data freshness stated (stale >1 week for live positions) — and save to the evidence ledger. Wire standing coverage: add OAI/import-alert/warning-letter/recall keywords for held names to the readout-watcher and rule-watcher sweeps, and encode thresholds into healthcare-equity SELL-02 watchlists ("warning letter at [site] → re-underwrite" as a pre-committed action). Escalate to the adcom-label pre-decision checklist when a scored facility serves a pending application.

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

Files

Just SKILL.md in modules/clinical-catalysts/skills/quality-signals of hh-health-AI/healthcare-equity.

Open the folder on GitHubat commit 6c7bda8

Compare with similar skills

Quality Signals 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.

Quality Signals compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Quality Signals this skillhh-health-AI/healthcare-equity101—~928Automated safety check: PassMIT
Academic Paper StrategistAAASS554/codex-academic-paper-skills5391 repos~2.7kAutomated safety check: PassMIT
Modeling Paper Rubric and Model Selectoryushui2022/MathModel-Skill4541 repos~1.8kAutomated safety check: PassMIT
Humanities Thesisganzhi-black/humanities-thesis-skill637—~1.7kAutomated safety check: PassMIT
Skill Thesis Writeryanlin-cheng/skill-thesis-writer209—~1.6kAutomated safety check: PassCustom licence
Thesis CreatorStars-OC/thesis-creator230—~2.8kAutomated safety check: PassMIT

Similar skills

  • Academic Paper Strategist

    AAASS554/codex-academic-paper-skills

    A skill your agent uses when the user needs to plan, de-risk, or ground a software engineering / computer science undergraduate thesis from a real codebase before final writing.

    539 GitHub starsUsed in 1 repo~2.7k tokens
    EducationAuto-check passed
  • Builds a scoring-aligned outline for a mathematical modeling paper and a model selection plan with baseline, improvement and validation experiments.

    454 GitHub starsUsed in 1 repo~1.8k tokens
    EducationAuto-check passed
  • Humanities Thesis

    ganzhi-black/humanities-thesis-skill

    人文社科论文写作全流程指导。适用于文学、历史、哲学、社会学、传播学、新闻学、文化研究等领域的中文学术论文。当用户提到"论文""写论文""选题""文献综述""论文修改""论文结构""摘要翻译""帮我查文献""参考文献格式""论文没有新意""理论和文本脱节""章节之间缺乏逻辑""帮我检查论文""摘要翻译成英文""投稿准备""脚注格式"等场景时触发。覆盖从选题到投稿的全流程,包含防幻觉规则、学术数据库…

    637 GitHub stars~1.7k tokensUpdated 5 mo ago
    EducationAuto-check passed
  • Skill Thesis Writer

    yanlin-cheng/skill-thesis-writer

    跨学科AI论文写作助手,专为本科生/研究生论文写作提供全方位支持。当用户需要撰写论文内容、设计论文框架结构、优化学术语体风格、处理参考文献格式(GB/T 7714-2015)、生成统计分析表格、或降低AI生成文本痕迹时使用此技能。支持工科(计算机/电子/机械等)、心理学、教育学、管理学等多学科领域,符合中国学术论文写作规范。

    209 GitHub stars~1.6k tokensUpdated 6 mo ago
    EducationAuto-check passed
  • Thesis Creator

    Stars-OC/thesis-creator

    Walks Chinese undergraduates through writing a graduation thesis from topic to Word export, with text-similarity reduction and AI-text rate rewriting and checks.

    230 GitHub stars~2.8k tokensUpdated 4 mo ago
    EducationAuto-check passed
  • Aigc Detector

    free-revalution/AIGC-Detector-Pro

    Academic paper AI content detection, rewriting, and thesis writing assistant.

    142 GitHub stars~2.8k tokensUpdated 4 mo ago
    EducationAuto-check passed

More from hh-health-AI/healthcare-equity

All 72 skills in this repo
  • Adcom Label

    hh-health-AI/healthcare-equity

    This skill should be used when the user says "prep the AdCom for [asset]", "what will the advisory committee vote", "analyze the approved label", "label delta vs expectations", or within 48 hours of…

    101 GitHub stars~1.1k tokensUpdated 3 days ago
    Auto-check passed
  • Biomedical Claim Checker

    hh-health-AI/healthcare-equity

    A skill your agent uses to audit whether medical or scientific claims are supported by their citations, verify references, assess AI-generated biomedical text or identify overstatement in a press…

    101 GitHub stars~741 tokensUpdated 3 days ago
    Auto-check passed
  • Biomedical Claim Checker

    hh-health-AI/healthcare-equity

    A skill your agent uses when checking whether a medical or scientific claim is supported by its cited paper, verifying references, auditing an AI-generated biomedical answer or examining…

    101 GitHub stars~816 tokensUpdated 3 days ago
    Auto-check passed
  • Biosimilar Erosion

    hh-health-AI/healthcare-equity

    This skill should be used when the user asks about "biosimilar erosion", "Purple Book", "biologic exclusivity", "interchangeability", "how fast will [biologic] erode", "erosion curve", or needs the…

    101 GitHub stars~753 tokensUpdated 3 days ago
    Auto-check passed
  • Biotech Catalyst Radar

    hh-health-AI/healthcare-equity

    A skill your agent uses for a defined biotech trial watchlist, registry-version comparisons, catalyst calendars or changed enrollment, status and completion estimates.

    101 GitHub stars~760 tokensUpdated 3 days ago
    Auto-check passed
  • Biotech Catalyst Radar

    hh-health-AI/healthcare-equity

    A skill your agent uses to monitor a defined biotech trial watchlist, compare registry versions, build a catalyst calendar or explain changed enrollment, status or completion estimates.

    101 GitHub stars~846 tokensUpdated 3 days ago
    Auto-check passed

Categories

Questions about Quality Signals

What does Quality Signals do?

This skill should be used when the user asks about "warning letters or 483s for [company]", "facility/inspection risk", "manufacturing risk on [TICKER]", "import alert exposure", "FAERS/MAUDE…. Quality Signals is an agent skill from hh-health-AI/healthcare-equity. This skill should be used when the user asks about "warning letters or 483s for [company]", "facility/inspection risk", "manufacturing risk on [TICKER]", "import alert exposure", "FAERS/MAUDE signals", "recall risk", "is there a safety signal on [product]", or wants manufacturing-quality and post-market-safety evidence behind a thesis or a pending approval.

When should I use Quality Signals?

Quality Signals fits situations like: asks about warning letters; 483s for [company]; facility/inspection risk; manufacturing risk on [TICKER].

How do I install Quality Signals in Claude Code?

Run `npx skills add hh-health-AI/healthcare-equity --skill quality-signals -a claude-code`. Or copy the skill folder (modules/clinical-catalysts/skills/quality-signals in hh-health-AI/healthcare-equity) into .claude/skills/quality-signals in your project. Claude Code loads it when a task matches its description.

How do I install Quality Signals in Codex?

Run `npx skills add hh-health-AI/healthcare-equity --skill quality-signals -a codex`. Or copy the skill folder (modules/clinical-catalysts/skills/quality-signals in hh-health-AI/healthcare-equity) into .agents/skills/quality-signals in your project. Codex loads it when a task matches its description.

Can I use Quality Signals 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 hh-health-AI/healthcare-equity --skill quality-signals -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/quality-signals, .gemini/skills/quality-signals, .github/skills/quality-signals and .opencode/skills/quality-signals in your project.

What does Quality Signals need to run?

SKILL.md names no scripts, command-line tools or credentials: Quality Signals is instructions for the agent only.

Does Quality Signals 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 Quality Signals 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 Quality Signals use?

Quality Signals is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Quality Signals use?

About 928 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Quality Signals?

Skills that share tags, products or a category with Quality Signals: Academic Paper Strategist (AAASS554/codex-academic-paper-skills, 539 stars), Modeling Paper Rubric and Model Selector (yushui2022/MathModel-Skill, 454 stars), Humanities Thesis (ganzhi-black/humanities-thesis-skill, 637 stars) and Skill Thesis Writer (yanlin-cheng/skill-thesis-writer, 209 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Quality Signals?

hh-health-AI (a GitHub user) maintains it in hh-health-AI/healthcare-equity, which has 101 GitHub stars. The repository holds 72 skills in this directory. The repository was last updated on October 8, 2026.

Source: hh-health-AI/healthcare-equity on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.