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comps

comps is a skill for Claude Code from daloopa/daloopa-plugin-claude. It costs 13 tokens per session (2,508 once invoked), scanned A, a copy of comps, Apache-2.0.

A financial comparison report that values a company against 5–10 similar public companies using measures such as share price and company value.

In plain words
What is it for?
Use it to select comparable companies, compare their financial measures, and estimate an implied valuation for the target company.
Why use it?
It gives a structured way to judge whether a company appears expensive or cheap compared with relevant peers.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the daloopa plugin — 21 skills, 2 MCP servers shipped together

not rated 8repo 3mo ago A scan 13 tokens copy · 100% Apache-2.0

Good fit Use it to select comparable companies, compare their financial measures, and estimate an implied valuation for the target company.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/daloopa/daloopa-plugin-claude/comps
View source ↗ daloopa/daloopa-plugin-claude
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 daloopa/daloopa-plugin-claude --skill comps
Clone the repo
git clone --depth 1 https://github.com/daloopa/daloopa-plugin-claude

Made for: Claude Code.

Or install daloopa, the plugin that ships this one along with the rest of its 21 skills, 2 MCP servers.

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 comps

README.md
[![agentmods](https://agentmods.dev/badge/skills/daloopa/daloopa-plugin-claude/comps/github.svg)](https://agentmods.dev/skills/daloopa/daloopa-plugin-claude/comps)
Your own site
<a href="https://agentmods.dev/skills/daloopa/daloopa-plugin-claude/comps"><img src="https://agentmods.dev/badge/skills/daloopa/daloopa-plugin-claude/comps/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 comps

Your own site · 80×15
<a href="https://agentmods.dev/skills/daloopa/daloopa-plugin-claude/comps"><img src="https://agentmods.dev/badge/skills/daloopa/daloopa-plugin-claude/comps.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 13 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,508 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 100% copy Near-identical to another mod 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 $0.00013 $0.02508
Opus 5.5 $0.00005 $0.01003
Sonnet 5.5 $0.00003 $0.00502
Haiku 4.5 $0.00001 $0.00251

Measured 2mo ago against content hash 3370261ec7cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

comps 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.

Origin

This is a copy

100% identical to comps — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/comps/SKILL.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Build a trading comparables analysis for the company specified by the user: $ARGUMENTS

Before starting, read ../data-access.md for data access methods and ../design-system.md for formatting conventions. Follow the data access detection logic and design system throughout this skill.

Follow these steps:

1. Company Lookup

Look up the company by ticker using discover_companies. Capture:

  • company_id
  • latest_calendar_quarter — anchor for all period calculations below (see ../data-access.md Section 1.5)
  • latest_fiscal_quarter
  • Firm name for report attribution (default: "Daloopa") — see ../data-access.md Section 4.5

2. Identify Peer Group

Based on the company's business model, sector, size, and competitive landscape, identify 5-10 comparable companies. Consider:

  • Direct competitors in the same market
  • Business model peers (similar revenue model even if different sector)
  • Size peers (similar market cap range)
  • Growth profile peers (similar growth rate)

Prioritize relevance over size matching. A direct competitor at a different scale is more useful than a similar-sized company in a different industry.

List the peer tickers and briefly justify each selection (1 sentence).

3. Target Company Fundamentals

Calculate 4 quarters backward from latest_calendar_quarter. Pull from Daloopa for the target company:

  • Revenue (compute trailing 4Q total)
  • EBITDA (compute trailing 4Q; if not available, use Op Income + D&A, label "(calc.)")
  • Net Income (trailing 4Q)
  • Diluted EPS (trailing 4Q sum)
  • Free Cash Flow (trailing 4Q; compute as OCF - CapEx, label "(calc.)")
  • Revenue YoY growth (most recent quarter)
  • Operating Margin (most recent quarter)
  • Net Margin (most recent quarter)

4. Stock Prices & Valuation Multiples

Use get_stock_prices (see ../data-access.md Section 1.7) to pull current prices for the target AND all peers in a single batch call — pass all company_ids together with dates = 3 most recent calendar days.

Read the full file on GitHub · 199 lines

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 · 199 lines · 13 tokens per session scan A 3370261ec7cb

Subscribe to this mod's changes

comps is a skill published in the GitHub repository daloopa/daloopa-plugin-claude (8 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 13 tokens to every session and 2,508 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to comps, differing in 0 lines, and is treated as a copy.

Analytics and metricsFinance and fintech
Related

comps compared with skills from other repositories

comps next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
compsdaloopa/daloopa-plugin-claudeSkill83mo agoApache-2.0A13Claude Code
sector-rotationHKUDS/Vibe-TradingSkill38kyesterdayMITA39Claude Code, Codex
twitter-readerhimself65/finance-skillsSkill3.5k2d agoMITA110Claude Code
strategy-pivot-designertradermonty/claude-trading-skillsSkill3.7k2d agoMITA28Claude Code, Codex
energy-procurementhashgraph-online/awesome-codex-pluginsSkill1.5kyesterdayApache-2.0A93Claude Code, Codex
airdrop-hunting-guidenirholas/three.wsSkill269yesterdayApache-2.0A54Claude Code, Codex
multi-expert-analyzerdigoal/blogSkill8.6k2d agoGPL-2.0A292Codex