Interview Prep
reactive-resume/reactive-resume
Prepares the user for a specific interview from their real experience.
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…
MITAuto-check passed
Install Adcom Label
$ npx skills add hh-health-AI/healthcare-equity --skill adcom-label -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hh-health-AI/healthcare-equity adcom-label --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/adcom-label .claude/skills/adcom-label && rm -rf skills-srcUse ~/.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/
Install the "adcom-label" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/modules/clinical-catalysts/skills/adcom-label into .claude/skills/adcom-label/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adcom-label", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hh-health-AI/healthcare-equity/tree/main/modules/clinical-catalysts/skills/adcom-labelType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hh-health-AI/healthcare-equity --skill adcom-label -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hh-health-AI/healthcare-equity adcom-label --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hh-health-AI/healthcare-equity.git skills-src && mkdir -p .agents/skills && cp -r skills-src/modules/clinical-catalysts/skills/adcom-label .agents/skills/adcom-label && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "adcom-label" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/modules/clinical-catalysts/skills/adcom-label into .agents/skills/adcom-label/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adcom-label", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hh-health-AI/healthcare-equity --skill adcom-label -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hh-health-AI/healthcare-equity adcom-label --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hh-health-AI/healthcare-equity.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/modules/clinical-catalysts/skills/adcom-label .cursor/skills/adcom-label && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "adcom-label" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/modules/clinical-catalysts/skills/adcom-label into .cursor/skills/adcom-label/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adcom-label", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hh-health-AI/healthcare-equity.git --path modules/clinical-catalysts/skills/adcom-label--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hh-health-AI/healthcare-equity --skill adcom-label -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hh-health-AI/healthcare-equity adcom-label --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hh-health-AI/healthcare-equity.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/modules/clinical-catalysts/skills/adcom-label .gemini/skills/adcom-label && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "adcom-label" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/modules/clinical-catalysts/skills/adcom-label into .gemini/skills/adcom-label/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adcom-label", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hh-health-AI/healthcare-equity adcom-labelInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hh-health-AI/healthcare-equity --skill adcom-label -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hh-health-AI/healthcare-equity.git skills-src && mkdir -p .github/skills && cp -r skills-src/modules/clinical-catalysts/skills/adcom-label .github/skills/adcom-label && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "adcom-label" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/modules/clinical-catalysts/skills/adcom-label into .github/skills/adcom-label/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adcom-label", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hh-health-AI/healthcare-equity --skill adcom-label -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hh-health-AI/healthcare-equity adcom-label --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hh-health-AI/healthcare-equity.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/modules/clinical-catalysts/skills/adcom-label .opencode/skills/adcom-label && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "adcom-label" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/modules/clinical-catalysts/skills/adcom-label into .opencode/skills/adcom-label/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adcom-label", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
adcom-label- GitHub stars
- 101
- Token cost
- ~1.1k tokens
- SKILL.md length
- 474 words
- Files
- 2 (incl. references)
- Skills in repo
- 72
- Repo updated
- First seen
- Licence
- MIT
At a glance
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…
- Works in 3 steps: Gather primary materials via web… → Run SUB-BIO-02 (in… → Distinguish what an AdCom decides…
- Says prep the AdCom for [asset]
- SKILL.md covers AdCom preparation, Post-approval label delta…, Pre-decision approval-odds… and Label-delta monitoring…
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Adcom Label is an agent skill from 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 an FDA/EMA approval when exact label language drives peak sales and payor reception.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/prompts.md`).
The repository describes itself as: Synthesis engine for buy-side healthcare equity research. The licence is MIT.
When your agent uses it
- Says prep the AdCom for [asset]
- What will the advisory committee vote
- Analyze the approved label
- Label delta vs expectations
Example prompts
- “prep the AdCom for [asset]”
- “what will the advisory committee vote”
- “analyze the approved label”
- “/adcom-label”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Gather primary materials via web research: the FDA briefing documents (usually posted ~2 days ahead), panel roster, draft questions, and…
- Run SUB-BIO-02 (in ${CLAUDE_PLUGIN_ROOT}/skills/adcom-label/references/prompts.md): expected discussion topics → panel composition and…
- Distinguish what an AdCom decides (advice on specified questions) from what it signals (FDA's areas of concern, revealed in the briefing…
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
Adcom Label loads about 1.1k tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 474 words of instructions outside code blocks.
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). 474 words, ~1,084 tokens.
Download SKILL.mdSave it as
.claude/skills/adcom-label/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- adcom-label
- description
- 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 an FDA/EMA approval when exact label language drives peak sales and payor reception.
- metadata.version
- 0.1.0
AdCom Prep & Label Delta
Two connected event workflows: prepare for an FDA advisory committee, and dissect an approved label against expectations.
AdCom preparation
- Gather primary materials via web research: the FDA briefing documents (usually posted ~2 days ahead), panel roster, draft questions, and class precedent votes. Use PubMed for the pivotal publications the panel will discuss.
- Run SUB-BIO-02 (in
${CLAUDE_PLUGIN_ROOT}/skills/adcom-label/references/prompts.md): expected discussion topics → panel composition and voting history → three likely FDA questions and vote split → stock-impact mapping → positioning. - Distinguish what an AdCom decides (advice on specified questions) from what it signals (FDA's areas of concern, revealed in the briefing book's framing). The briefing document's tone is often the tradable information before the vote.
Post-approval label delta (within 48 hours of approval)
- Pull the official label, approval letter, and posted review documents from Drugs@FDA — never FDALabel for exact language (search index only, per
${CLAUDE_PLUGIN_ROOT}/CLAUDE.md). - Run SUB-BIO-08 (same references file): expected vs actual label side-by-side (indication scope, line of therapy, population subsetting, dosing, monitoring, boxed warnings, contraindications, PMCs/PMRs) → commercial unlock → commercial restriction (REMS, specialty channel, prior-auth burden, step therapy) → peak-sales model delta with per-element sensitivity → post-marketing overhang → precedent implications.
- Route the restriction elements to companions: coverage/prior-auth implications → cms-reimbursement coverage-check; eligible-population resizing → procedure-exposure epi-funnel-input; CDx coupling → device-diligence (SUB-TLS-05).
- Per the label translation row (references/evidence-translation-clinical.md): a broader label moves eligible population, launch timing, and commercial claims — it does not automatically move coverage, physician adoption, or paid demand.
- End with the EVIDENCE BRIEF block (layer: regulatory); send model deltas to healthcare-equity model-valuation.
Show full SKILL.md (219 more words)Show less
Pre-decision approval-odds checklist (before any PDUFA/decision date)
Score the pending application against ${CLAUDE_PLUGIN_ROOT}/references/crl-risk-rubric.md: the eight deficiency categories (CMC most common; facility/CGMP cited in ~12 of 20 sampled CRLs) and the named red flags — subgroup rescue, Hy's Law case counts, ex-US-heavy pivotal data, MTD-only oncology dosing, late CMC qualification, PPQ status, and named-facility enforcement state (commission the quality-signals skill for the facility axis). Anchor the prior on the pathway base rate (base-rates.md), adjust with named precedents (precedent-pack skill), and output: per-category verdict → CRL-probability adjustment → the 1–2 falsifiers to watch → EVIDENCE BRIEF. For approved-but-conditional assets, track FDORA confirmatory status and ODAC scheduling as the withdrawal lead indicator.
Label-delta monitoring (prescribing-information supplements as signal)
Track PI/label supplements for covered and competitor products via Drugs@FDA supplement histories and DailyMed SPL version diffs (Rhizome connector for document depth when installed). Two signal classes: cadence — supplement frequency as a franchise-productivity KPI (the Dupixent pattern: ~15 supplements in 48 months ≈ a new indication every ~6 months; route the KPI to healthcare-equity earnings trackers); and language deltas — competitive and safety intelligence in the diff (the Ozempic pattern: removal of exclusive needle-compatibility language = third-party device-entry signal; new postmarketing AEs = pharmacovigilance trajectory). Shelf-life and device-change supplements are PAS-only and therefore dated, tradable events (see ${CLAUDE_PLUGIN_ROOT}/references/combination-products.md). Emit material deltas as EVIDENCE BRIEFs; the readout-watcher agent runs this sweep on schedule.
© 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
SKILL.md and 1 other file (references) in modules/clinical-catalysts/skills/adcom-label of hh-health-AI/healthcare-equity.
- SKILL.md
- references/prompts.md
Open the folder on GitHubat commit 6c7bda8
Compare with similar skills
Adcom Label 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Adcom Label this skillhh-health-AI/healthcare-equity | 101 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Interview Prepreactive-resume/reactive-resume | 44k | — | ~10k | Automated safety check: Pass | MIT | |
| Form Labelsthedaviddias/Front-End-Checklist | 74k | — | ~565 | Automated safety check: Pass | MIT | |
| Agentic Labelerdotnet/maui | 23k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Skills CLI PR Labelingvercel-labs/skills | 34k | — | ~310 | Automated safety check: Pass | MIT | |
| Interview PrepRightNow-AI/openfang | 18k | — | ~973 | Automated safety check: Pass | Apache-2.0 |
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Questions about Adcom Label
What does Adcom Label do?
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…. Adcom Label is an agent skill from 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 an FDA/EMA approval when exact label language drives peak sales and payor reception.
When should I use Adcom Label?
Adcom Label fits situations like: says prep the AdCom for [asset]; what will the advisory committee vote; analyze the approved label; label delta vs expectations.
How do I install Adcom Label in Claude Code?
Run `npx skills add hh-health-AI/healthcare-equity --skill adcom-label -a claude-code`. Or copy the skill folder (modules/clinical-catalysts/skills/adcom-label in hh-health-AI/healthcare-equity) into .claude/skills/adcom-label in your project. Claude Code loads it when a task matches its description.
How do I install Adcom Label in Codex?
Run `npx skills add hh-health-AI/healthcare-equity --skill adcom-label -a codex`. Or copy the skill folder (modules/clinical-catalysts/skills/adcom-label in hh-health-AI/healthcare-equity) into .agents/skills/adcom-label in your project. Codex loads it when a task matches its description.
Can I use Adcom Label 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 adcom-label -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/adcom-label, .gemini/skills/adcom-label, .github/skills/adcom-label and .opencode/skills/adcom-label in your project.
What does Adcom Label need to run?
SKILL.md names no scripts, command-line tools or credentials: Adcom Label is instructions for the agent only.
Does Adcom Label 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 Adcom Label 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 Adcom Label use?
Adcom Label 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 Adcom Label use?
About 1.1k tokens (SKILL.md is roughly 4.3k 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 720 tokens, read only when the agent opens those files.
What are the alternatives to Adcom Label?
Skills that share tags, products or a category with Adcom Label: Interview Prep (reactive-resume/reactive-resume, 44k stars), Form Labels (thedaviddias/Front-End-Checklist, 74k stars), Agentic Labeler (dotnet/maui, 23k stars) and Skills CLI PR Labeling (vercel-labs/skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Adcom Label?
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.