Agent skill

Precedent Pack

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

This skill should be used when the user says "build the precedent pack for [event/ asset]", "what has FDA actually accepted for [endpoint/population]", "find the analogs for this readout/filing"…

MITAuto-check passedLegal & Compliance

Install Precedent Pack

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

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

GitHub CLI
$ gh skill install hh-health-AI/healthcare-equity precedent-pack --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/precedent-pack .claude/skills/precedent-pack && 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
precedent-pack
GitHub stars
101
Token cost
~886 tokens
SKILL.md length
390 words
Files
1
Skills in repo
72
Repo updated
First seen
Licence
MIT

At a glance

This skill should be used when the user says "build the precedent pack for [event/ asset]", "what has FDA actually accepted for [endpoint/population]", "find the analogs for this readout/filing"…

  • Works in 6 steps: State the decision, not the keyword.… → Query across document types… → Go wide before narrow. Target the… → …
  • Says build the precedent pack for [event/ asset]
  • SKILL.md covers Method (six principles —…, Output and Wiring
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Precedent Pack is an agent skill from hh-health-AI/healthcare-equity. This skill should be used when the user says "build the precedent pack for [event/ asset]", "what has FDA actually accepted for [endpoint/population]", "find the analogs for this readout/filing", "what happened to comparable programs", "CRL precedents in [indication]", or when any binary event needs named historical analogs instead of class-average base rates.

Its SKILL.md is about 890 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 Legal & Compliance, covering Legal research. The repository describes itself as: Synthesis engine for buy-side healthcare equity research. The licence is MIT.

When your agent uses it

  • Says build the precedent pack for [event/ asset]
  • What has FDA actually accepted for [endpoint/population]
  • Find the analogs for this readout/filing
  • What happened to comparable programs

Example prompts

  • “build the precedent pack for [event/ asset]”
  • “what has FDA actually accepted for [endpoint/population]”
  • “find the analogs for this readout/filing”
  • “/precedent-pack”

Workflow steps

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

  1. State the decision, not the keyword. Frame the question as the decision it serves: "can [endpoint] support approval in…
  2. Query across document types simultaneously. Patterns live across sources, in this value order: review packages/discipline reviews first…
  3. Go wide before narrow. Target the comparable set (~20–30 programs where the record allows) before focusing on the closest 3–5. Sampling is…
  4. Hunt negatives deliberately. CRLs, refusals/NSEs, clinical holds, discontinued programs, withdrawn designations, failed confirmatory…
  5. Reconcile sources. Reviews, publications, and registry entries disagree on dates, endpoints, and effect sizes — surface conflicts rather…
  6. Open every citation that carries weight before the pack ships (pinpoint-citation contract).

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

Precedent Pack loads about 886 tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 390 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
~886

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). 390 words, ~886 tokens.

Download SKILL.mdSave it as .claude/skills/precedent-pack/SKILL.md (or your agent's skills folder).
name
precedent-pack
description
This skill should be used when the user says "build the precedent pack for [event/ asset]", "what has FDA actually accepted for [endpoint/population]", "find the analogs for this readout/filing", "what happened to comparable programs", "CRL precedents in [indication]", or when any binary event needs named historical analogs instead of class-average base rates.
metadata.version
0.1.0

Precedent Pack

Assemble the named historical analogs for a pending decision — readout, filing, AdCom, label, pathway choice — and use them to adjust base rates with precedents instead of class averages. Governing rule: guidance is descriptive; decisions are precedential. Seed maps: ${CLAUDE_PLUGIN_ROOT}/references/endpoint-precedents.md, base-rates.md, crl-risk-rubric.md.

Method (six principles — follow in order)

  1. State the decision, not the keyword. Frame the question as the decision it serves: "can [endpoint] support approval in [population/line]?", "what evidence bar cleared for [modality] in [indication]?", "what stability/E&L package cleared for comparable [format]?" (CMC-benchmarking mode).
  2. Query across document types simultaneously. Patterns live across sources, in this value order: review packages/discipline reviews first (they record the disagreement), then CRLs (failure precedent), approval letters/labels/PMRs-PMCs, EPARs/CHMP opinions, AdCom materials and votes, trial registry records, designation records, guidance last. Rhizome connector when installed (carry its citation URLs); else Drugs@FDA, EMA, ClinicalTrials.gov (via the Clinical Trials connector), openFDA, web.
  3. Go wide before narrow. Target the comparable set (~20–30 programs where the record allows) before focusing on the closest 3–5. Sampling is where the risk hides; if the set is capped by effort, say what was excluded.
  4. Hunt negatives deliberately. CRLs, refusals/NSEs, clinical holds, discontinued programs, withdrawn designations, failed confirmatory trials. Negative precedent counts double and is systematically under-surfaced — a pack with zero negatives is presumptively incomplete ("negatives: none found after search for X, Y" is an acceptable answer; silence is not).
  5. Reconcile sources. Reviews, publications, and registry entries disagree on dates, endpoints, and effect sizes — surface conflicts rather than picking silently (standing instructions, applied at corpus level).
  6. Open every citation that carries weight before the pack ships (pinpoint-citation contract).
Show full SKILL.md (119 more words)Show less

Output

The pack: a table of named analogs — program/sponsor · indication/population · design & endpoint · outcome (approved with what label / CRL with what deficiency / failed on what) · regulator treatment · pinpoint citation — followed by: the pattern read (what the set says the bar is), the adjusted probability vs the base-rates.md prior (named-precedent adjustments, shown), the closest-analog deltas for the live case, and the disconfirming precedent a skeptic would cite. End with the EVIDENCE BRIEF block (layer: regulatory or clinical) and save to the evidence ledger.

Wiring

Feeds readout-handicap (PoS adjustment), adcom-label (expected label/vote and the pre-decision checklist), device-diligence (pathway odds and CMC benchmarks), healthcare-equity thesis (variant perception vs consensus odds) and model-valuation (rNPV PoS provenance). Run the precedent discipline checklist (${CLAUDE_PLUGIN_ROOT}/CLAUDE.md) before shipping.

© 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/precedent-pack of hh-health-AI/healthcare-equity.

Open the folder on GitHubat commit 6c7bda8

Compare with similar skills

Precedent Pack 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.

Precedent Pack compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Precedent Pack this skillhh-health-AI/healthcare-equity101—~886Automated safety check: PassMIT
Tw Legal RAGaa0101181514/tw-legal-rag328—~580Automated safety check: PassCustom licence
Design Award SearchSeanJ1ang/design-judge-skills712—~3kAutomated safety check: PassApache-2.0
China Lawyer AnalystCSlawyer1985/china-lawyer-analyst196—~3.3kAutomated safety check: PassNone
Billing And Litigation BudgetTHUYRan/Legal-Skills-Chinese874—~5kAutomated safety check: PassNone
Legal Issue ResearchGolden2002/legal-research-skill156—~6.8kAutomated safety check: PassMIT

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Questions about Precedent Pack

What does Precedent Pack do?

This skill should be used when the user says "build the precedent pack for [event/ asset]", "what has FDA actually accepted for [endpoint/population]", "find the analogs for this readout/filing"…. Precedent Pack is an agent skill from hh-health-AI/healthcare-equity. This skill should be used when the user says "build the precedent pack for [event/ asset]", "what has FDA actually accepted for [endpoint/population]", "find the analogs for this readout/filing", "what happened to comparable programs", "CRL precedents in [indication]", or when any binary event needs named historical analogs instead of class-average base rates.

When should I use Precedent Pack?

Precedent Pack fits situations like: says build the precedent pack for [event/ asset]; what has FDA actually accepted for [endpoint/population]; find the analogs for this readout/filing; what happened to comparable programs.

How do I install Precedent Pack in Claude Code?

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

How do I install Precedent Pack in Codex?

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

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

What does Precedent Pack need to run?

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

Does Precedent Pack 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 Precedent Pack 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 Precedent Pack use?

Precedent Pack 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 Precedent Pack use?

About 886 tokens (SKILL.md is roughly 3.5k 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 Precedent Pack?

Skills that share tags, products or a category with Precedent Pack: Tw Legal RAG (aa0101181514/tw-legal-rag, 328 stars), Design Award Search (SeanJ1ang/design-judge-skills, 712 stars), China Lawyer Analyst (CSlawyer1985/china-lawyer-analyst, 196 stars) and Billing And Litigation Budget (THUYRan/Legal-Skills-Chinese, 874 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Precedent Pack?

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.