agentmods.dev

pharma-eval

pharma-eval is a skill for Claude Code, Codex from du-par/pharma-invest-skills. It costs 144 tokens per session (808 once invoked), scanned A, original, MIT.

A Chinese-language skill for evaluating early-stage pharmaceutical investment projects. It analyses supplied business plans, due-diligence reports, clinical data, or financial models and produces an investment memorandum.

In plain words
What is it for?
Use it to review a biotech project’s pipeline, clinical stage, team, financing, competitors, valuation, exit options, risks, and unanswered diligence questions.
Why use it?
It helps investors assess a drug project when information is spread across company materials or must be gathered from current sources.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

not rated 11repo 6mo ago A scan 144 tokens original MIT

Good fit Use it to review a biotech project’s pipeline, clinical stage, team, financing, competitors, valuation, exit options, risks, and unanswered diligence questions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/du-par/pharma-invest-skills/pharma-eval
View source ↗ du-par/pharma-invest-skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add du-par/pharma-invest-skills --skill pharma-eval
Clone the repo
git clone --depth 1 https://github.com/du-par/pharma-invest-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for pharma-eval

README.md
[![agentmods](https://agentmods.dev/badge/skills/du-par/pharma-invest-skills/pharma-eval/github.svg)](https://agentmods.dev/skills/du-par/pharma-invest-skills/pharma-eval)
Your own site
<a href="https://agentmods.dev/skills/du-par/pharma-invest-skills/pharma-eval"><img src="https://agentmods.dev/badge/skills/du-par/pharma-invest-skills/pharma-eval/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for pharma-eval

Your own site · 80×15
<a href="https://agentmods.dev/skills/du-par/pharma-invest-skills/pharma-eval"><img src="https://agentmods.dev/badge/skills/du-par/pharma-invest-skills/pharma-eval.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 144 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 808 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00144 $0.00808
Opus 5.5 $0.00058 $0.00323
Sonnet 5.5 $0.00029 $0.00162
Haiku 4.5 $0.00014 $0.00081

Measured 2mo ago against content hash 5a5301e0498b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pharma-eval scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

pharma-eval/SKILL.md · 67 lines

What it actually says

医药项目评估

使用 GPT 最新模型（gpt 别名） 对生物医药项目进行完整投资分析。

触发条件

用户输入 @项目评估 或 项目评估，同时：

  • 上传了项目材料（BP、尽调报告、临床数据、财务模型等），或
  • 提供了项目名称（触发网络搜索兜底）

执行步骤

Step 1：信息收集

若有上传文件：

  • 读取所有附件内容（docx/pdf/图片均可）
  • 快速梳理：公司名、管线、阶段、团队、融资情况

若只有项目名称：

  1. 先检查 Projects/ 本地目录是否有相关文件
  2. 无本地文件则用 Tavily / web_search 搜索该项目近期信息（融资、临床进展、团队背景等）

Step 2：组合筛查（必须执行）

检查 PORTFOLIO.md，判断是否为怀格资本已投项目：

  • ✅ 命中 → 在回答开头醒目标注 🏷️【怀格资本已投项目】，附注投资成本/MOIC/持股比例
  • ❌ 未命中 → 继续分析

Step 3：调用 GPT 执行深度分析

模型：使用 gpt 别名（对应 gpt-5.4，最新 GPT 模型）

方式：将收集到的所有项目信息 + references/eval-prompt.md 中的完整评估框架，交给 GPT 进行分析。

具体做法：

  1. 读取 references/eval-prompt.md 获取完整的15章节评估框架
  2. 将项目材料内容 + 评估框架 Prompt 组合，通过 sessions_spawn 调用 GPT 子智能体完成分析：
sessions_spawn(
  task = "<项目材料全文>\n\n---\n\n<eval-prompt.md全文>",
  model = "gpt",
  runtime = "subagent",
  mode = "run"
)
  1. 等待子智能体返回结果，转发给用户

Step 4：输出格式

直接输出 GPT 返回的完整分析报告，格式为：

  • 15个章节完整呈现（一、项目核心结论 → 十五、最终投资建议）
  • 若报告过长，先发送一、二、三章摘要，告知用户可请求完整版

注意事项

  • 模型必须是 GPT：不允许用 Claude/Kimi 替代，这是杜Par的明确要求
  • 不要截断报告：GPT 返回多长就呈现多长
  • 材料不足时：明确列出"资料未提供"的字段，并提出追问清单，不要因信息缺失而跳过章节
  • 识别包装痕迹：提醒 GPT 识别BP中的夸大表述、逻辑漏洞、跳步推理
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 67 lines · 144 tokens per session scan A 5a5301e0498b

Subscribe to this mod's changes

pharma-eval is a skill published in the GitHub repository du-par/pharma-invest-skills (11 stars, last pushed 6mo ago), licensed MIT. It adds 144 tokens to every session and 808 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Finance and fintechScientific
Related

pharma-eval compared with skills from other repositories

pharma-eval next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
pharma-evaldu-par/pharma-invest-skillsSkill116mo agoMITA144Claude Code, Codex
monte-carloPlanExeOrg/PlanExeSkill4036d agoMITA71Claude Code
neqsim-integrated-production-and-lifecycleequinor/neqsimSkill163yesterdayApache-2.0A98Claude Code, Codex
neqsim-utility-designequinor/neqsimSkill163yesterdayApache-2.0A108Claude Code, Codex
fin-paper-figurecsmar432/finai-researchSkill1094d agoMITA14Claude Code, Codex
fin-paper-writingcsmar432/finai-researchSkill1094d agoMITA65Claude Code
fin-viz-launchcsmar432/finai-researchSkill1094d agoMITA45Claude Code, Codex