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.
npx skills add agentii-ai/agentii-investment-intelligence --skill peer-bench-medgit clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligenceWrote 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.
[](https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/peer-bench-med)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/peer-bench-med"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/peer-bench-med/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.
<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/peer-bench-med"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/peer-bench-med.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00049 | $0.01215 |
| Opus 5 | $0.00024 | $0.00607 |
| Sonnet 5 | $0.00010 | $0.00243 |
| Haiku 4.5 | $0.00005 | $0.00121 |
Grade A, and why
peer-bench-med 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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. Propagate X-Agentii-Trace per contracts/x-agentii-trace-header.md.
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?"
Production Grounding
- Med peers are science-defined: use
get_company_drugsto find indication/therapy overlap before financial comparison. - 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.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.
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). - Pull per-peer financials (
get_financial_ratios) + valuation context. - Ground with historical cases/analogues via knowledge tools.
What ships with it
2 files 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.
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.
- 2d ago First seen · 146 lines · 49 tokens per session scan A e5a66b219d83
peer-bench-med is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (204 stars, last pushed yesterday), licensed Apache-2.0. It adds 49 tokens to every session and 1,215 once invoked, about $0.0002 per session on Opus 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 2026-09-09.
Other skills, from other repositories
deal-packet
Produce the full institutional deal packet for a deal — Excel underwriting model + Word IC memo + PowerPoint deck + PDF one-pager — all Bristol-branded, fully cited, and cross-linked to one sources registry. Use when the user says "build the packet," "full workup," "put together the IC package," "model this deal," or…
deal-memo
Assemble research into a polished investment committee memo, market study, or deal one-pager. Use when the user says "write the memo," "put together an IC memo," "make a one-pager," "turn this into a document for the committee/lenders/LPs," or wants research packaged into a deliverable.
deal-pipeline
Track deals across stages and produce status updates. Use when the user says "track this deal," "what's in my pipeline," "update the status on [deal]," "give me a pipeline summary," or wants an overview of what's moving.
investor-sourcing
Research capital partners and LPs for a raise, and research who owns or controls a parcel or entity and how to contact them. Use when the user says "find investors," "who could fund this," "research this capital partner," "who owns this land/parcel," "who's behind this LLC," or needs investor/owner background and…
market-comp-analysis
Pull rent comps, occupancy, supply pipeline, absorption, and cap-rate trends for a submarket, then build a market study. Use when the user asks for "comps," "rent comps," "market study," "what are rents doing," "cap rates," "what's the competition," or needs the market picture behind a deal.
underwriting-research
Research the real-world assumptions behind a multifamily underwriting model — achievable rents, operating expenses, taxes, insurance, construction/hard costs, and available incentives. Use when the user says "check my assumptions," "what should I underwrite for," "research expenses/taxes/insurance/construction costs,"…