Gsd Phase
open-gsd/gsd-core
Multi-phase management — add, insert, remove, or edit phases in ROADMAP.md (roadmap phase CRUD)
Medicines pipeline analysis over structured universes: Phase I-III assets with probability-of-success discipline (unadjusted peak x POS = modeled value; POS changes logged with reasons), trial…
Apache-2.0Auto-check passed
Install Pipeline Medicines
$ npx skills add agentii-ai/agentii-investment-intelligence --skill pipeline-medicines -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence pipeline-medicines --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/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-medicines .claude/skills/pipeline-medicines && 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 "pipeline-medicines" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-medicines into .claude/skills/pipeline-medicines/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pipeline-medicines", 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/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-medicinesType 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 agentii-ai/agentii-investment-intelligence --skill pipeline-medicines -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence pipeline-medicines --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-medicines .agents/skills/pipeline-medicines && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pipeline-medicines" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-medicines into .agents/skills/pipeline-medicines/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pipeline-medicines", 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 agentii-ai/agentii-investment-intelligence --skill pipeline-medicines -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence pipeline-medicines --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-medicines .cursor/skills/pipeline-medicines && 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 "pipeline-medicines" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-medicines into .cursor/skills/pipeline-medicines/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pipeline-medicines", 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/agentii-ai/agentii-investment-intelligence.git --path plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-medicines--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 agentii-ai/agentii-investment-intelligence --skill pipeline-medicines -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence pipeline-medicines --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-medicines .gemini/skills/pipeline-medicines && 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 "pipeline-medicines" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-medicines into .gemini/skills/pipeline-medicines/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pipeline-medicines", 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 agentii-ai/agentii-investment-intelligence pipeline-medicinesInstalls 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 agentii-ai/agentii-investment-intelligence --skill pipeline-medicines -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-medicines .github/skills/pipeline-medicines && 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 "pipeline-medicines" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-medicines into .github/skills/pipeline-medicines/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pipeline-medicines", 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 agentii-ai/agentii-investment-intelligence --skill pipeline-medicines -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence pipeline-medicines --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-medicines .opencode/skills/pipeline-medicines && 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 "pipeline-medicines" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-medicines into .opencode/skills/pipeline-medicines/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pipeline-medicines", 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
pipeline-medicines- GitHub stars
- 207
- Token cost
- ~1.7k tokens
- SKILL.md length
- 672 words
- Files
- 3 (incl. references)
- Skills in repo
- 79
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Medicines pipeline analysis over structured universes: Phase I-III assets with probability-of-success discipline (unadjusted peak x POS = modeled value; POS changes logged with reasons), trial…
- Works in 5 steps: get_company_drugs /… → search_drug_knowledge /… → search_drugs_by_target /… → …
- 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 Medicines is an agent skill from agentii-ai/agentii-investment-intelligence. Medicines pipeline analysis over structured universes: Phase I-III assets with probability-of-success discipline (unadjusted peak x POS = modeled value; POS changes logged with reasons), trial status-diff tracking, and mechanism/competitor mapping via drug-knowledge lookups.
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
- “Use the pipeline-medicines skill to medicine pipeline analysis over structured universes: Phase I-III assets with probability-of-success discipline…”
- “/pipeline-medicines”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- get_company_drugs / search_universe_drugs — asset inventory from the med universe.
- search_drug_knowledge / get_drug_knowledge — mechanism, targets, indications, phase per drug.
- search_drugs_by_target / search_drugs_by_indication — reverse lookups for the competitor map.
- search_clinical_trials / get_clinical_trial — status, enrollment, primary-completion dates.
- search_fda_approvals — registration history; search_earnings_calendar for timing; knowledge layer via search_investment_cases /…
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 Medicines loads about 1.7k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 672 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 agentii-ai/agentii-investment-intelligence at commit 86980e1, republished under its Apache-2.0 licence (© agentii-ai). 672 words, ~1,748 tokens.
Download SKILL.mdSave it as
.claude/skills/pipeline-medicines/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- pipeline-medicines
- description
- Medicines pipeline analysis over structured universes: Phase I-III assets with probability-of-success discipline (unadjusted peak x POS = modeled value; POS changes logged with reasons), trial status-diff tracking, and mechanism/competitor mapping via drug-knowledge lookups.
- 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-year development programs.
- retrieval_scope
- structured_only
- min_tool_diversity
- 3
- parameter_free
- false
Methodology inspired by publicly taught pipeline-valuation frameworks; all text is an original paraphrase.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| asset_scope | all disclosed assets | Full-pipeline enumeration first |
| pos_source | published phase transition ranges | Starting point, then adjusted with logged reasons |
| status_diff | true | Previous vs current trial status shown per asset |
| competitor_map | true | Same-target and same-indication crowding surfaced |
| value_frame | risk-adjusted | Modeled 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 drug pipeline by phase."
- "What are the Phase II and III assets for [ticker]?"
- "Risk-adjust [ticker]'s pipeline with explicit POS assumptions."
- "Which of [ticker]'s programs is most valuable?"
- "What trials recently changed status for [ticker]?"
- "Who else is targeting [mechanism/target]?"
- "How crowded is [indication], and what does that mean for [ticker]?"
- "Log every POS change with reasons for [ticker]'s pipeline."
- "What is the next catalyst for each of [ticker]'s assets?"
- "Compare [ticker]'s pipeline against same-indication competitors."
- "Map [ticker]'s assets by mechanism of action."
- "What does [ticker]'s pipeline say about its runway?"
Production Grounding
- POS discipline: every asset carries an unadjusted peak sales estimate and a phase-appropriate POS; the modeled number is peak x POS, never a bare risk-adjusted figure. Every POS change is logged with its reason (trial data, competitor data, discontinuation) — silent POS drift is a defect.
- Phase ladder: Phase I safety/dosing, Phase II efficacy signal, Phase III registrational; option value rises with phase. Apply scrutiny axes when sizing pivotal assets.
- Status-diff discipline: show previous vs current status per trial (New/Suspended/Terminated/Ahead/Delayed/...); Terminated plus enrollment collapse is a red flag; recruitment-complete starts the readout clock.
- Competitor mapping: same-target and same-indication crowding discounts peak sales, not just POS; mechanism overlap explains class risk.
- Grounding detail lives in
references/knowledge-frameworks.md.
Data Source Priority
get_company_drugs/search_universe_drugs— asset inventory from the med universe.search_drug_knowledge/get_drug_knowledge— mechanism, targets, indications, phase per drug.search_drugs_by_target/search_drugs_by_indication— reverse lookups for the competitor map.search_clinical_trials/get_clinical_trial— status, enrollment, primary-completion dates.search_fda_approvals— registration history;search_earnings_calendarfor timing; knowledge layer viasearch_investment_cases/search_knowledge_entries.
Methodology
Retrieval Scope
structured_only
Retrieval Strategy
- Pull asset inventory (
get_company_drugs), then universe cross-checks (search_universe_drugs). - Enrich per asset from
search_drug_knowledge/get_drug_knowledge(mechanism, targets, phase). - Pull trial records (
search_clinical_trials) for status-diff and next-catalyst dates. - Build the competitor map via
search_drugs_by_target/search_drugs_by_indication. - Size each asset (peak x POS with change log); ground in cases and knowledge entries.
Show full SKILL.md (248 more words)Show less
Temporal Scope
See frontmatter temporal_scope block. Development programs span years; status history may reach back 8-12 quarters.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
- Asset enumeration
- Phase and mechanism enrichment
- Status-diff and catalyst dating
- Competitor map assembly
- POS model with change log
Modes
- Phase scan (default): all assets by phase with status-diff and next catalyst.
- POS model: peak x POS modeling with a full change log and scenario brackets.
- Competitor map: target/indication crowding with class-risk read.
Tool Fallbacks
| Failure | Fallback |
|---|---|
| get_company_drugs empty | search_universe_drugs by company or indication; annotate coverage_gap |
| Drug-knowledge record missing | Flag mechanism/competitor data unavailable; never infer targets |
| No trial rows | Mark status undisclosed; note the readout clock is unverified |
| Knowledge tools empty | Proceed with structured data only |
Output File
{ticker}/{YYYY-MM-DD_HHMM}_pipeline-medicines_{affix}.md
Output Structure
- Executive Summary — pipeline stance in 2-3 sentences
- Asset Table — phase, indication, mechanism, status-diff, next catalyst
- POS Model — unadjusted peak, POS, modeled value per asset, change log with reasons
- Competitor Map — same-target and same-indication crowding, class risk
- Historical Context — cases and knowledge entries with /v/ citations
- Coverage Gaps — missing records, undisclosed status, degraded modes
Error Handling
| Error | Fallback |
|---|---|
| Phase unknown | Mark "undisclosed"; do not guess |
| POS source missing | State the assumption range and label it a judgment |
| No catalysts found | Say 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.mdcontracts/output-frontmatter-schema.mdcontracts/memory-load.mdcontracts/snapshot-synthesis.mdcontracts/preflight.mdreferences/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-medicines 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
Pipeline Medicines 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 |
|---|---|---|---|---|---|---|
| Pipeline Medicines this skillagentii-ai/agentii-investment-intelligence | 207 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Gsd Phaseopen-gsd/gsd-core | 10k | 1 repos | ~603 | Automated safety check: Notes | MIT | |
| Bio Phasing Imputation Haplotype PhasingGPTomics/bioSkills | 1.2k | 1 repos | ~4.2k | Automated safety check: Pass | MIT | |
| Gsd Execute Phaseopen-gsd/gsd-core | 10k | 1 repos | ~801 | Automated safety check: Notes | MIT | |
| Gsd Spec Phaseopen-gsd/gsd-core | 10k | 1 repos | ~658 | Automated safety check: Notes | MIT | |
| Gsd Mvp Phaseopen-gsd/gsd-core | 10k | 1 repos | ~505 | Automated safety check: Notes | MIT |
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Questions about Pipeline Medicines
What does Pipeline Medicines do?
Medicines pipeline analysis over structured universes: Phase I-III assets with probability-of-success discipline (unadjusted peak x POS = modeled value; POS changes logged with reasons), trial…. Pipeline Medicines is an agent skill from agentii-ai/agentii-investment-intelligence. Medicines pipeline analysis over structured universes: Phase I-III assets with probability-of-success discipline (unadjusted peak x POS = modeled value; POS changes logged with reasons), trial status-diff tracking, and mechanism/competitor mapping via drug-knowledge lookups.
How do I install Pipeline Medicines in Claude Code?
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill pipeline-medicines -a claude-code`. Or copy the skill folder (plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-medicines in agentii-ai/agentii-investment-intelligence) into .claude/skills/pipeline-medicines in your project. Claude Code loads it when a task matches its description.
How do I install Pipeline Medicines in Codex?
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill pipeline-medicines -a codex`. Or copy the skill folder (plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-medicines in agentii-ai/agentii-investment-intelligence) into .agents/skills/pipeline-medicines in your project. Codex loads it when a task matches its description.
Can I use Pipeline Medicines 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-medicines -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-medicines, .gemini/skills/pipeline-medicines, .github/skills/pipeline-medicines and .opencode/skills/pipeline-medicines in your project.
What does Pipeline Medicines need to run?
SKILL.md names no scripts, command-line tools or credentials: Pipeline Medicines is instructions for the agent only.
Does Pipeline Medicines 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 Medicines 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 Medicines use?
Pipeline Medicines 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 Medicines use?
About 1.7k tokens (SKILL.md is roughly 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 Medicines?
Skills that share tags, products or a category with Pipeline Medicines: Gsd Phase (open-gsd/gsd-core, 10k stars), Bio Phasing Imputation Haplotype Phasing (GPTomics/bioSkills, 1.2k stars), Gsd Execute Phase (open-gsd/gsd-core, 10k stars) and Gsd Spec Phase (open-gsd/gsd-core, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Pipeline Medicines?
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.