Agent skill

Pipeline Vaccines

by agentii-ai in agentii-ai/agentii-investment-intelligence

Vaccine pipeline analysis: immunogenicity and seroconversion studies, lot-consistency trials, healthy-population efficacy designs, and age-cohort bridging, with the ACIP gate built into the value…

Apache-2.0Auto-check passed

Install Pipeline Vaccines

skills CLI
$ npx skills add agentii-ai/agentii-investment-intelligence --skill pipeline-vaccines -a claude-code

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

GitHub CLI
$ gh skill install agentii-ai/agentii-investment-intelligence pipeline-vaccines --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/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-vaccines .claude/skills/pipeline-vaccines && 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
pipeline-vaccines
GitHub stars
207
Token cost
~1.7k tokens
SKILL.md length
667 words
Files
3 (incl. references)
Skills in repo
79
Repo updated
First seen
Licence
Apache-2.0

At a glance

Vaccine pipeline analysis: immunogenicity and seroconversion studies, lot-consistency trials, healthy-population efficacy designs, and age-cohort bridging, with the ACIP gate built into the value…

  • Works in 4 steps: get_company_drugs /… → search_clinical_trials /… → search_acip_events / get_acip_event —… → …
  • SKILL.md covers Defaults, Preflight, Triggers and Production Grounding, plus 11 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Pipeline Vaccines is an agent skill from agentii-ai/agentii-investment-intelligence. Vaccine pipeline analysis: immunogenicity and seroconversion studies, lot-consistency trials, healthy-population efficacy designs, and age-cohort bridging, with the ACIP gate built into the value path across the med universe.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/knowledge-frameworks.md` and `references/modes.md`).

The repository describes itself as: Claude-type skills for institutional equity research — 25 AI agent skills with SEC filings, XBRL financials, earnings calendars, DCF/comps/LBO models, and PPT generation. Powered… The licence is Apache-2.0.

Example prompts

  • “/pipeline-vaccines”

Workflow steps

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

  1. get_company_drugs / search_universe_drugs — vaccine asset inventory.
  2. search_clinical_trials / get_clinical_trial — study design type, cohorts, status-diff, enrollment.
  3. search_acip_events / get_acip_event — the gate path per vaccine; search_fda_approvals for BLA history.
  4. Knowledge layer: search_knowledge_entries for framework grounding.

What it can do on your machine

Read from SKILL.md and the folder at commit 86980e1. 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

Pipeline Vaccines loads about 1.7k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 667 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3k

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 agentii-ai/agentii-investment-intelligence at commit 86980e1, republished under its Apache-2.0 licence (© agentii-ai). 667 words, ~1,678 tokens.

Download SKILL.mdSave it as .claude/skills/pipeline-vaccines/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
pipeline-vaccines
description
Vaccine pipeline analysis: immunogenicity and seroconversion studies, lot-consistency trials, healthy-population efficacy designs, and age-cohort bridging, with the ACIP gate built into the value path across the med universe.
sectors
med.medicines_biotech, med.medical_devices
multi_ticker_semantics
single_target
temporal_scope.default_quarters
8
temporal_scope.max_quarters
20
temporal_scope.description
Long-horizon pipeline window default 8 quarters; up to 20 for multi-season bridging and booster cycles.
retrieval_scope
structured_only
min_tool_diversity
3
parameter_free
false

Methodology inspired by publicly taught vaccine development frameworks; all text is an original paraphrase.

Defaults

ParameterDefault ValueRationale
asset_scopeall disclosed vaccine assetsFull-pipeline enumeration first
evidence_lensimmunogenicity + efficacyCorrelate studies distinguished from efficacy trials
acip_gatetrueACIP path modeled as part of pipeline value
cohort_lenstrueAge-cohort bridging tracked per asset
value_framerisk-adjustedModeled value = unadjusted peak x POS, both shown

Preflight

Run canonical pre-flight per contracts/preflight.md. Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned). Confirm ticker resolution via search_companies before asset queries.

Triggers

  • "Analyze [ticker]'s vaccine pipeline."
  • "What seroconversion or immunogenicity studies support [vaccine]?"
  • "Where are [ticker]'s vaccines in the efficacy ladder?"
  • "Which lot-consistency trials are pending for [ticker]?"
  • "What age-cohort bridging studies does [ticker] have planned?"
  • "Does [ticker]'s vaccine have an ACIP path?"
  • "Risk-adjust [ticker]'s vaccine pipeline."
  • "What is the next catalyst for each of [ticker]'s vaccine assets?"
  • "How do healthy-population efficacy designs change the evidence bar?"
  • "Map [ticker]'s vaccines by antigen, cohort, and phase."
  • "Which vaccine assets could reach a BLA in the next two years?"
  • "What does [ticker]'s pipeline say about its seasonal strategy?"

Production Grounding

  • Vaccine evidence ladder: immunogenicity/seroconversion studies (correlates, not efficacy) → efficacy trials in healthy populations (large N, safety-first) → lot-consistency trials (immunogenicity equivalence across three manufacturing lots — a licensure gate) → age-cohort bridging for pediatric and elderly label expansion.
  • Healthy-population design: the efficacy bar is safety-first; endpoints prevent infection or disease; power comes from large N, and placebo arms shrink post-licensure (non-inferiority and bridging designs follow).
  • Lot consistency is a regulatory milestone, not a formality: without it, licensure stalls regardless of efficacy data.
  • The ACIP gate is part of pipeline value: a Phase III vaccine without a plausible ACIP path carries an unmodeled commercial step.
  • Booster cycles and variant updates re-open the market; cohort bridging extends the label beyond the pivotal population.
  • Grounding detail lives in references/knowledge-frameworks.md.

Data Source Priority

  1. get_company_drugs / search_universe_drugs — vaccine asset inventory.
  2. search_clinical_trials / get_clinical_trial — study design type, cohorts, status-diff, enrollment.
  3. search_acip_events / get_acip_event — the gate path per vaccine; search_fda_approvals for BLA history.
  4. Knowledge layer: search_knowledge_entries for framework grounding.

Methodology

Retrieval Scope

structured_only

Retrieval Strategy
  1. Pull vaccine assets (get_company_drugs), cross-check the universe (search_universe_drugs).
  2. Enrich per asset with trial records (search_clinical_trials) — design type, cohorts, status.
  3. Map the ACIP path per asset (search_acip_events / get_acip_event).
  4. Layer BLA and approval history (search_fda_approvals).
  5. Size each asset (peak x POS); ground in knowledge entries.
Show full SKILL.md (251 more words)Show less
Temporal Scope

See frontmatter temporal_scope block. Seasonal and bridging cycles span years; history may reach back 8-12 quarters.

Tool Allowlist

See frontmatter allowed_tools.

Protocol
  1. Asset enumeration
  2. Evidence-ladder mapping (immunogenicity → efficacy → lot consistency → bridging)
  3. ACIP-path assessment
  4. Cohort and booster overlay
  5. Risk-adjusted synthesis

Modes

  • Phase scan (default): all vaccine assets by stage with next catalyst and ACIP path.
  • Cohort bridge: age-cohort expansions, booster cycles, and label breadth.
  • Competitor map: antigen and indication overlap with class-read.

Tool Fallbacks

FailureFallback
get_company_drugs emptysearch_universe_drugs by company or indication; annotate coverage_gap
No trial rowsMark design type undisclosed; do not guess efficacy vs immunogenicity
No ACIP rowsFlag the gate path unmodeled; never assume approval = availability
Knowledge tools emptyProceed with structured data only

Output File

{ticker}/{YYYY-MM-DD_HHMM}_pipeline-vaccines_{affix}.md

Output Structure

  1. Executive Summary — pipeline stance in 2-3 sentences
  2. Asset Table — stage, design type, cohorts, next catalyst, ACIP path
  3. Evidence Ladder — immunogenicity vs efficacy vs lot-consistency status per asset
  4. Cohort & Booster Map — bridging studies, label breadth, seasonal strategy
  5. Risk-Adjusted Sizing — peak x POS with the two-gate path made explicit
  6. Coverage Gaps — missing records, undisclosed design, degraded modes

Error Handling

ErrorFallback
Study design unknownMark "undisclosed"; do not guess
Efficacy vs correlate ambiguityState both readings; never call seroconversion efficacy
No catalysts foundSay so explicitly; note the pipeline may be early-stage

Memory Load

See contracts/memory-load.md.

Snapshot

See contracts/snapshot-synthesis.md.

Final Summary (TUI)

Include ### Key Citations block with 0-10 clickable /v/ URLs.

References

  • contracts/citation-and-memory.md
  • contracts/output-frontmatter-schema.md
  • contracts/memory-load.md
  • contracts/snapshot-synthesis.md
  • contracts/preflight.md
  • references/knowledge-frameworks.md

© agentii-ai, Apache-2.0. 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 2 other files (references) in plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-vaccines of agentii-ai/agentii-investment-intelligence.

  • SKILL.md
  • references/knowledge-frameworks.md
  • references/modes.md

Open the folder on GitHubat commit 86980e1

Compare with similar skills

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Consistent Helpthedaviddias/Front-End-Checklist74k—~482Automated safety check: PassMIT
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Questions about Pipeline Vaccines

What does Pipeline Vaccines do?

Vaccine pipeline analysis: immunogenicity and seroconversion studies, lot-consistency trials, healthy-population efficacy designs, and age-cohort bridging, with the ACIP gate built into the value…. Pipeline Vaccines is an agent skill from agentii-ai/agentii-investment-intelligence. Vaccine pipeline analysis: immunogenicity and seroconversion studies, lot-consistency trials, healthy-population efficacy designs, and age-cohort bridging, with the ACIP gate built into the value path across the med universe.

How do I install Pipeline Vaccines in Claude Code?

Run `npx skills add agentii-ai/agentii-investment-intelligence --skill pipeline-vaccines -a claude-code`. Or copy the skill folder (plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-vaccines in agentii-ai/agentii-investment-intelligence) into .claude/skills/pipeline-vaccines in your project. Claude Code loads it when a task matches its description.

How do I install Pipeline Vaccines in Codex?

Run `npx skills add agentii-ai/agentii-investment-intelligence --skill pipeline-vaccines -a codex`. Or copy the skill folder (plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-vaccines in agentii-ai/agentii-investment-intelligence) into .agents/skills/pipeline-vaccines in your project. Codex loads it when a task matches its description.

Can I use Pipeline Vaccines 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 agentii-ai/agentii-investment-intelligence --skill pipeline-vaccines -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pipeline-vaccines, .gemini/skills/pipeline-vaccines, .github/skills/pipeline-vaccines and .opencode/skills/pipeline-vaccines in your project.

What does Pipeline Vaccines need to run?

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

Does Pipeline Vaccines 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 Pipeline Vaccines 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 Pipeline Vaccines use?

Pipeline Vaccines is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pipeline Vaccines use?

About 1.7k tokens (SKILL.md is roughly 6.7k 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 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Pipeline Vaccines?

Skills that share tags, products or a category with Pipeline Vaccines: Study Plan (anthropics/claude-for-legal, 9.6k stars), Study Buddy (LeoYeAI/openclaw-master-skills, 2.2k stars), Nap Consistency (thedaviddias/Front-End-Checklist, 74k stars) and Consistent Help (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pipeline Vaccines?

agentii-ai (a GitHub user) maintains it in agentii-ai/agentii-investment-intelligence, which has 207 GitHub stars. The repository holds 79 skills in this directory. The repository was last updated on September 29, 2026.

Source: agentii-ai/agentii-investment-intelligence on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.