Agent skill

Respiratory Surveillance

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

This skill should be used when the user asks about "flu season", "RSV", "COVID wave", "respiratory surveillance", "FluView", "wastewater data", "test volumes", "vaccine season", or wants a near-term…

MITAuto-check passed

Install Respiratory Surveillance

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

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

GitHub CLI
$ gh skill install hh-health-AI/healthcare-equity respiratory-surveillance --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/epi-demand/skills/respiratory-surveillance .claude/skills/respiratory-surveillance && 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
respiratory-surveillance
GitHub stars
101
Token cost
~696 tokens
SKILL.md length
320 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 "flu season", "RSV", "COVID wave", "respiratory surveillance", "FluView", "wastewater data", "test volumes", "vaccine season", or wants a near-term…

  • Works in 7 steps: Pull the series… → Establish the baseline. Compare against… → Separate activity from testing. Percent… → …
  • Asks about flu season
  • SKILL.md covers Workflow and Not-automatic
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Respiratory Surveillance is an agent skill from hh-health-AI/healthcare-equity. This skill should be used when the user asks about "flu season", "RSV", "COVID wave", "respiratory surveillance", "FluView", "wastewater data", "test volumes", "vaccine season", or wants a near-term demand read for vaccines, respiratory diagnostics or antivirals.

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Synthesis engine for buy-side healthcare equity research. The licence is MIT.

When your agent uses it

  • Asks about flu season
  • Respiratory surveillance
  • Wastewater data
  • Wants a near-term demand read for vaccines

Example prompts

  • “flu season”
  • “COVID wave”
  • “respiratory surveillance”
  • “/respiratory-surveillance”

Workflow steps

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

  1. Pull the series (scripts/surveillance.py): outpatient influenza-like illness
  2. Establish the baseline. Compare against the same week in the previous three to
  3. Separate activity from testing. Percent positivity rises when activity rises or
  4. Watch coverage changes. Laboratory participation in NREVSS and site participation
  5. Map to the revenue line. Different products respond to different parts of the
  6. Size it. State the revenue line, the historical relationship between the series
  7. Emit the brief with provisional stated in the vintage field.

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

Respiratory Surveillance loads about 696 tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 320 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~696

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). 320 words, ~696 tokens.

Download SKILL.mdSave it as .claude/skills/respiratory-surveillance/SKILL.md (or your agent's skills folder).
name
respiratory-surveillance
description
This skill should be used when the user asks about "flu season", "RSV", "COVID wave", "respiratory surveillance", "FluView", "wastewater data", "test volumes", "vaccine season", or wants a near-term demand read for vaccines, respiratory diagnostics or antivirals.
metadata.version
0.1.0
metadata.layer
Commercial

Respiratory surveillance nowcast

Convert weekly public surveillance into a near-term demand read for respiratory vaccines, diagnostics and therapeutics — and be explicit about what is provisional.

Workflow

  1. Pull the series (scripts/surveillance.py): outpatient influenza-like illness (wILI), clinical and public-health laboratory percent positivity by pathogen, hospitalisation rates, and wastewater concentration levels from NWSS.
  2. Establish the baseline. Compare against the same week in the previous three to five seasons, not against last week. Respiratory demand is violently seasonal and a week-on-week number tells you almost nothing.
  3. Separate activity from testing. Percent positivity rises when activity rises or when testing narrows to symptomatic patients. Test volume and positivity must be read together, and a positivity spike with falling test volume is mostly a testing artefact.
  4. Watch coverage changes. Laboratory participation in NREVSS and site participation in NWSS change between seasons. A step in the series that coincides with a participation change is not epidemiology.
  5. Map to the revenue line. Different products respond to different parts of the curve, at different lags:
    • Vaccines: demand is set in the September–November administration window and by retail pharmacy capacity, not by peak season severity. A severe December helps next season's uptake more than this season's revenue.
    • Diagnostics: respond within one to two weeks of activity; the most direct link.
    • Antivirals: track symptomatic presentations and prescribing, lagging activity slightly.
    • Hospital-facing products: track the hospitalisation series, which lags cases.
  6. Size it. State the revenue line, the historical relationship between the series and reported quarterly revenue for that product in prior seasons, and the residual. A nowcast with no historical fit is a chart, not evidence.
  7. Emit the brief with provisional stated in the vintage field.

Not-automatic

Surveillance activity does not license a revenue conclusion without the historical relationship between the series and that specific product's reported revenue. Severity and revenue are related but the relationship differs by product type and by season.

Contract: ../../references/evidence-brief.md.

© 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/epi-demand/skills/respiratory-surveillance of hh-health-AI/healthcare-equity.

Open the folder on GitHubat commit 6c7bda8

Compare with similar skills

Respiratory Surveillance 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.

Respiratory Surveillance compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Respiratory Surveillance this skillhh-health-AI/healthcare-equity101—~696Automated safety check: PassMIT
Pathogen Variant SurveillanceK-Dense-AI/scientific-agent-skills48k1 repos~2.7kAutomated safety check: NotesMIT
The Lancet Respiratory Medicinebrycewang-stanford/Awesome-Journal-Skills1.2k—~2.1kAutomated safety check: PassMIT
Bio Epidemiological Genomics Variant SurveillanceFreedomIntelligence/OpenClaw-Medical-Skills3.1k1 repos~2kAutomated safety check: PassNone
American Journal Of Respiratory And Critical Care Medicinebrycewang-stanford/Awesome-Journal-Skills1.2k—~2kAutomated safety check: PassMIT
Preprint Surveillance Finderaipoch/medical-research-skills1.9k—~1.4kAutomated safety check: PassMIT

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  • Pathogen Variant Surveillance

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    Queries public GenSpectrum LAPIS data for pathogen genomic surveillance, current lineage nomenclature, weekly sequence proportions, reporting delays, and descriptive mutation frequencies.

    48k GitHub starsUsed in 1 repo~2.7k tokens
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  • The Lancet Respiratory Medicine

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    A skill your agent uses when targeting The Lancet Respiratory Medicine or deciding whether a respiratory or critical-care study fits this venue.

    1.2k GitHub stars~2.1k tokensUpdated 14 days ago
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  • Bio Epidemiological Genomics Variant Surveillance

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    A skill your agent uses when targeting the American Journal of Respiratory and Critical Care Medicine or deciding whether a respiratory, critical-care, or sleep study fits this venue.

    1.2k GitHub stars~2k tokensUpdated 14 days ago
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  • Preprint Surveillance Finder

    aipoch/medical-research-skills

    Tracks the latest preprints and emerging research topics related to your topic across bioRxiv, medRxiv, and arXiv.

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Questions about Respiratory Surveillance

What does Respiratory Surveillance do?

This skill should be used when the user asks about "flu season", "RSV", "COVID wave", "respiratory surveillance", "FluView", "wastewater data", "test volumes", "vaccine season", or wants a near-term…. Respiratory Surveillance is an agent skill from hh-health-AI/healthcare-equity. This skill should be used when the user asks about "flu season", "RSV", "COVID wave", "respiratory surveillance", "FluView", "wastewater data", "test volumes", "vaccine season", or wants a near-term demand read for vaccines, respiratory diagnostics or antivirals.

When should I use Respiratory Surveillance?

Respiratory Surveillance fits situations like: asks about flu season; respiratory surveillance; wastewater data; wants a near-term demand read for vaccines.

How do I install Respiratory Surveillance in Claude Code?

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

How do I install Respiratory Surveillance in Codex?

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

Can I use Respiratory Surveillance 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 respiratory-surveillance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/respiratory-surveillance, .gemini/skills/respiratory-surveillance, .github/skills/respiratory-surveillance and .opencode/skills/respiratory-surveillance in your project.

What does Respiratory Surveillance need to run?

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

Does Respiratory Surveillance 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 Respiratory Surveillance 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 Respiratory Surveillance use?

Respiratory Surveillance 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 Respiratory Surveillance use?

About 696 tokens (SKILL.md is roughly 2.8k 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 Respiratory Surveillance?

Skills that share tags, products or a category with Respiratory Surveillance: Pathogen Variant Surveillance (K-Dense-AI/scientific-agent-skills, 48k stars), The Lancet Respiratory Medicine (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Bio Epidemiological Genomics Variant Surveillance (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars) and American Journal Of Respiratory And Critical Care Medicine (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Respiratory Surveillance?

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.