Technical Analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
Med peer benchmarking: select actual biotech/pharma peers via the med universe (drug/indication overlap where possible) and compare med-relevant metrics — pipeline depth, catalyst density, cash…
Install Peer Bench Med
$ npx skills add agentii-ai/agentii-investment-intelligence --skill peer-bench-med -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence peer-bench-med --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/peer-bench-med .claude/skills/peer-bench-med && 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 "peer-bench-med" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/peer-bench-med into .claude/skills/peer-bench-med/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "peer-bench-med", 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/peer-bench-medType 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 peer-bench-med -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence peer-bench-med --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/peer-bench-med .agents/skills/peer-bench-med && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "peer-bench-med" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/peer-bench-med into .agents/skills/peer-bench-med/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "peer-bench-med", 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 peer-bench-med -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence peer-bench-med --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/peer-bench-med .cursor/skills/peer-bench-med && 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 "peer-bench-med" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/peer-bench-med into .cursor/skills/peer-bench-med/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "peer-bench-med", 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/peer-bench-med--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 peer-bench-med -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence peer-bench-med --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/peer-bench-med .gemini/skills/peer-bench-med && 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 "peer-bench-med" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/peer-bench-med into .gemini/skills/peer-bench-med/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "peer-bench-med", 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 peer-bench-medInstalls 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 peer-bench-med -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/peer-bench-med .github/skills/peer-bench-med && 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 "peer-bench-med" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/peer-bench-med into .github/skills/peer-bench-med/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "peer-bench-med", 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 peer-bench-med -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 peer-bench-med --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/peer-bench-med .opencode/skills/peer-bench-med && 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 "peer-bench-med" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/peer-bench-med into .opencode/skills/peer-bench-med/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "peer-bench-med", 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
peer-bench-med- GitHub stars
- 207
- Token cost
- ~1.8k tokens
- SKILL.md length
- 626 words
- Files
- 3 (incl. references)
- Skills in repo
- 79
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Med peer benchmarking: select actual biotech/pharma peers via the med universe (drug/indication overlap where possible) and compare med-relevant metrics — pipeline depth, catalyst density, cash…
- Works in 5 steps: get_company_drugs / search_companies —… → search_drugs_by_target /… → get_financial_ratios / search_xbrl_facts… → …
- Business, Finance & HR work in your project
- 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
Peer Bench Med is an agent skill from agentii-ai/agentii-investment-intelligence. Med peer benchmarking: select actual biotech/pharma peers via the med universe (drug/indication overlap where possible) and compare med-relevant metrics — pipeline depth, catalyst density, cash position, margins, valuation multiples.
Its SKILL.md is about 1.8k 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`).
It sits in Business, Finance & HR. 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.
When your agent uses it
- Business, Finance & HR work in your project
Example prompts
- “/peer-bench-med”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- get_company_drugs / search_companies — peer discovery by drug/indication overlap.
- search_drugs_by_target / search_drugs_by_indication — mechanism competitor mapping + overlap scoring (054 silver reverse lookups).
- get_financial_ratios / search_xbrl_facts — financial comparison data.
- get_peer_comparison — platform pre-computed peer metrics.
- Knowledge layer: search_investment_cases/search_by_analogue for historical peer dynamics + launch analogs.
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
Peer Bench Med loads about 1.8k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 626 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). 626 words, ~1,756 tokens.
Download SKILL.mdSave it as
.claude/skills/peer-bench-med/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- peer-bench-med
- description
- Med peer benchmarking: select actual biotech/pharma peers via the med universe (drug/indication overlap where possible) and compare med-relevant metrics — pipeline depth, catalyst density, cash position, margins, valuation multiples.
- sectors
- med.medicines_biotech, med.medical_devices
- multi_ticker_semantics
- basket_v1_1
- temporal_scope.default_quarters
- 4
- temporal_scope.max_quarters
- 12
- temporal_scope.description
- Benchmark window default 4 quarters; up to 12 for multi-year pipeline comparisons.
- retrieval_scope
- structured_only
- min_tool_diversity
- 3
- parameter_free
- false
Methodology inspired by publicly taught peer-comparison frameworks; all text is an original paraphrase.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| peer_count | 4-6 | Comparable-set size standard for comps |
| peer_logic | indication/drug overlap first | Med peers are defined by science, not SIC codes |
| include_med_metrics | true | Pipeline depth, catalyst density, cash runway |
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).
Never fabricate a peer metric when the data surface is absent — annotate coverage_gap instead (spec 055 FR-B02 discipline).
Triggers
- "Who are the closest peers to [biotech ticker]?"
- "Benchmark [ticker] against its biotech comp set."
- "How does [ticker]'s valuation compare to peers?"
- "Which names compete with [ticker]'s pipeline?"
- "Build a peer table with pipeline depth and cash."
- "Is [ticker] expensive relative to its med peers?"
- "Compare margins across the pharma peer group."
- "What are the catalyst-dense names in this peer set?"
- "Peer analysis for [ticker] with indication overlap."
- "Which peers have the strongest balance sheets?"
- "Which same-mechanism competitors matter for [ticker]'s pipeline?"
Production Grounding
- Med peers are science-defined: use
get_company_drugsto find indication/therapy overlap before financial comparison. - Launch-analog selection: for commercial-stage names, match same-class (mechanism/indication class) + same-channel (specialty/retail/hospital/device-rep/vaccine-procurement) analogs so launch trajectories compare like-for-like.
- Mechanism-overlap scoring: rank candidate peers by shared targets/indications via the drug-knowledge reverse lookups; where sources conflict, keep both values with provenance.
- Med-relevant metrics: pipeline assets by phase, catalyst density (PDUFA/AdCom/trial readouts), cash runway (quarters), R&D productivity; generic margins only as secondary.
- Grounding frameworks:
references/knowledge-frameworks.md(道/法 review knowledge + valuation lenses).
Data Source Priority
get_company_drugs/search_companies— peer discovery by drug/indication overlap.search_drugs_by_target/search_drugs_by_indication— mechanism competitor mapping + overlap scoring (054 silver reverse lookups).get_financial_ratios/search_xbrl_facts— financial comparison data.get_peer_comparison— platform pre-computed peer metrics.- Knowledge layer:
search_investment_cases/search_by_analoguefor historical peer dynamics + launch analogs.
Methodology
Retrieval Scope
structured_only
Retrieval Strategy
- Resolve the target via
get_company_profile; pull its drugs (get_company_drugs). - Find peers by indication/therapy overlap + med industry membership (
search_companies). - Map mechanism competitors:
search_drugs_by_indication/search_drugs_by_targetper key indication/target; score peers by shared targets/indications (conflicting sources shown with provenance). - Match launch analogs for commercial-stage names: same-class + same-channel; retrieve analog launch history via knowledge tools.
- Pull per-peer financials (
get_financial_ratios) + valuation context. - Ground with historical cases/analogues via knowledge tools.
Show full SKILL.md (243 more words)Show less
Temporal Scope
See frontmatter temporal_scope block.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
- Target profile
- Science-based peer selection (indication/drug overlap)
- Mechanism-overlap scoring (reverse lookups)
- Launch-analog matching (same-class, same-channel)
- Med-metric comparison
- Valuation & risk synthesis
Modes
- Science-based (default): indication/drug-overlap peers.
- Launch-analog (commercial-stage): same-class, same-channel analog peers with launch-trajectory context.
- Financial: margin/valuation peers within the same industry.
- Catalyst: peers ranked by upcoming FDA events.
Tool Fallbacks
| Failure | Fallback |
|---|---|
| get_company_drugs empty | Fall back to industry peers via search_companies; annotate |
| Reverse lookups empty | Score overlap from get_company_drugs classes only; annotate mechanism mapping unavailable |
| get_peer_comparison empty | Build comparison manually from get_financial_ratios |
| Knowledge tools empty | Proceed with structured data only |
Output File
{ticker}/{YYYY-MM-DD_HHMM}_peer-bench-med_{affix}.md
Output Structure
- Executive Summary — relative standing in 2-3 sentences
- Peer Selection — peers + selection logic (science overlap)
- Mechanism Overlap — target/indication overlap matrix from reverse lookups, scored by shared mechanisms; conflicting source values shown with provenance
- Launch-Analog Match — same-class, same-channel analogs (commercial-stage names)
- Comparison Table — med metrics + financials + valuation
- Historical Context — cases/analogues with /v/ citations
- Risk Assessment — concentration/catalyst risks
- Coverage Gaps — missing data flags
Error Handling
| Error | Fallback |
|---|---|
| No indication overlap found | Widen to same-industry peers; flag science-overlap unavailable |
| Mechanism data missing | Score from indication overlap only; flag reverse-lookup coverage gap |
| Missing financials | Mark N/A in table; do not fabricate |
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/peer-bench-med 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
Peer Bench Med 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 |
|---|---|---|---|---|---|---|
| Peer Bench Med this skillagentii-ai/agentii-investment-intelligence | 207 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Technical Analysttradermonty/claude-trading-skills | 3k | 4 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Theme Detectortradermonty/claude-trading-skills | 3k | 2 repos | ~4.9k | Automated safety check: Pass | MIT | |
| Creating Financial ModelsChen-zexi/open-ptc-agent | 729 | 3 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Itr Walakaranb192/itr-wala | 871 | — | ~3.6k | Automated safety check: Pass | MIT |
Similar skills
Theme Detector
tradermonty/claude-trading-skills
Detect and analyze trending market themes across sectors. An agent skill from tradermonty/claude-trading-skills.
Creating Financial Models
Chen-zexi/open-ptc-agent
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
Stock API
zhangxiangliang/stock-api
Fetch real-time stock quotes, K-line (candlestick) history, and search symbols for China A-shares, Hong Kong, and US markets.
Itr Wala
karanb192/itr-wala
File Indian income tax returns (ITR) for FY 2025-26 / AY 2026-27.
Tushare Data
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求，转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
More from agentii-ai/agentii-investment-intelligence
All 79 skills in this repoChallenge
agentii-ai/agentii-investment-intelligence
Adversarial verification of research theses — cross-run/cross-thesis contradiction via the entity index, pre-mortem (Klarman/Kahneman: assume the loss already happened, reverse the path), inversion…
Chart Patterns
agentii-ai/agentii-investment-intelligence
Chart pattern recognition, price action patterns, candlestick signal bars, pullback bar counting H1/H2/H3/H4, trend channels, micro channels, trading ranges, breakouts, major trend reversals 5-step…
Clarify
agentii-ai/agentii-investment-intelligence
The research-domain clarification skill — find underspecified items in a thesis spec.md (prose wrongif, universe rows without rationale, missing budget/expiry/pins, ambiguous pillars), ask the human…
Constitution
agentii-ai/agentii-investment-intelligence
Scaffold and amend the L1 Investment Constitution — [ALLCAPS] placeholder bootstrap, SemVer bump rules, Sync Impact Report, MINOR/MAJOR re-examination dispatch after the gate-5 budget confirm.
Converge
agentii-ai/agentii-investment-intelligence
Append-only gap closure and the cadence engine for research theses.
Implement
agentii-ai/agentii-investment-intelligence
Execute research tasks — checklist soft gate, phase dispatch with explicit thesisdir, budget enforcement (halt + approval card on overrun), skillpin recording (versionhash content-hashed per skill…
Related
Categories
Questions about Peer Bench Med
What does Peer Bench Med do?
Med peer benchmarking: select actual biotech/pharma peers via the med universe (drug/indication overlap where possible) and compare med-relevant metrics — pipeline depth, catalyst density, cash…. Peer Bench Med is an agent skill from agentii-ai/agentii-investment-intelligence. Med peer benchmarking: select actual biotech/pharma peers via the med universe (drug/indication overlap where possible) and compare med-relevant metrics — pipeline depth, catalyst density, cash position, margins, valuation multiples.
When should I use Peer Bench Med?
Peer Bench Med fits situations like: business, Finance & HR work in your project.
How do I install Peer Bench Med in Claude Code?
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill peer-bench-med -a claude-code`. Or copy the skill folder (plugins/vertical-plugins/bio-pharm/skills/agentii/peer-bench-med in agentii-ai/agentii-investment-intelligence) into .claude/skills/peer-bench-med in your project. Claude Code loads it when a task matches its description.
How do I install Peer Bench Med in Codex?
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill peer-bench-med -a codex`. Or copy the skill folder (plugins/vertical-plugins/bio-pharm/skills/agentii/peer-bench-med in agentii-ai/agentii-investment-intelligence) into .agents/skills/peer-bench-med in your project. Codex loads it when a task matches its description.
Can I use Peer Bench Med 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 peer-bench-med -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/peer-bench-med, .gemini/skills/peer-bench-med, .github/skills/peer-bench-med and .opencode/skills/peer-bench-med in your project.
What does Peer Bench Med need to run?
SKILL.md names no scripts, command-line tools or credentials: Peer Bench Med is instructions for the agent only.
Does Peer Bench Med 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 Peer Bench Med 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 Peer Bench Med use?
Peer Bench Med 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 Peer Bench Med use?
About 1.8k 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 893 tokens, read only when the agent opens those files.
What are the alternatives to Peer Bench Med?
Skills that share tags, products or a category with Peer Bench Med: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Peer Bench Med?
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.