inflection

inflection is a skill for Claude Code, Codex from daloopa/investing. It costs 16 tokens per session (1,462 once invoked), scanned A, original, Apache-2.0.

A workflow for finding the largest changes in the speed or direction of a company’s financial and operating metrics. An inflection is a notable acceleration or slowdown in a trend.

In plain words
What is it for?
Use it to find shifts in revenue, profit, margins, cash flow, customers, subscribers, units, retention, segments, debt, cash, backlog, bookings, or other tracked measures.
Why use it?
It searches broadly across available company data so important changes are easier to spot than they would be when reviewing each metric separately.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/daloopa/investing/inflection
Any agent
npx skills add daloopa/investing --skill inflection
Clone the repo
git clone --depth 1 https://github.com/daloopa/investing

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 inflection

README.md
[![agentmods](https://agentmods.dev/badge/skills/daloopa/investing/inflection.svg)](https://agentmods.dev/skills/daloopa/investing/inflection)
Your own site
<a href="https://agentmods.dev/skills/daloopa/investing/inflection"><img src="https://agentmods.dev/badge/skills/daloopa/investing/inflection.svg" alt="Measured on agentmods" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,462 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00016 $0.01462
Opus 5 $0.00008 $0.00731
Sonnet 5 $0.00003 $0.00292
Haiku 4.5 $0.00002 $0.00146

Measured 4d ago against content hash 1d4fb13d8407, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

inflection 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 4d 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

Copies of this mod

1 near-identical copy found in the catalogue:

.claude/skills/inflection/SKILL.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Detect the biggest financial and operating inflections 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. Broad Series Discovery

Cast a wide net to discover ALL available series for this company. Search with multiple keyword sets to maximize coverage:

  • Financial: "revenue", "income", "profit", "margin", "eps", "cash flow"
  • Operating: "subscriber", "user", "customer", "unit", "arpu", "retention"
  • Segment: "segment", "product", "service", "geographic"
  • Balance sheet: "debt", "asset", "equity", "cash"
  • Other: "backlog", "bookings", "pipeline", "store", "employee"

Collect all unique series IDs. The goal is comprehensiveness — capture every metric Daloopa tracks for this company.

3. Pull 8 Quarters of Data

Calculate 8 quarters backward from latest_calendar_quarter. Pull all discovered series for those periods. This gives enough history to compute both QoQ and YoY rates plus their second derivatives.

4. Compute Growth Rates and Inflections

For each series with sufficient data (at least 5 quarters):

YoY Growth Rate for each quarter:

  • growth_t = (value_t - value_{t-4}) / |value_{t-4}|

YoY Acceleration (second derivative):

  • accel_t = growth_t - growth_{t-1}
  • Positive = accelerating, Negative = decelerating

QoQ Sequential Growth (for non-seasonal metrics):

  • seq_growth_t = (value_t - value_{t-1}) / |value_{t-1}|

QoQ Acceleration:

  • seq_accel_t = seq_growth_t - seq_growth_{t-1}

Skip series where values are too small (< 1% of revenue) or where data is sparse. For margin/ratio series (values between 0-1 or percentages), compute change in basis points rather than % change.

Read the full file on GitHub · 134 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. 4d ago First seen · 134 lines · 16 tokens per session scan A 1d4fb13d8407

Subscribe to this mod's changes

inflection is a skill published in the GitHub repository daloopa/investing (486 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 16 tokens to every session and 1,462 once invoked, about $0.0001 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 2026-08-30.

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