Agent skill

Hindenburg Investigation

by questflowai in questflowai/investorskills

A skill your agent uses when evaluating Hindenburg-style investigative short reports: evidence chains, promoter networks, stock promotion, related parties, disclosure failures, and catalyst-driven…

MITAuto-check passed

Install Hindenburg Investigation

skills CLI
$ npx skills add questflowai/investorskills --skill hindenburg-investigation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install questflowai/investorskills hindenburg-investigation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/hindenburg-investigation .claude/skills/hindenburg-investigation && rm -rf skills-src

Use ~/.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/

Facts

Skill name
hindenburg-investigation
GitHub stars
1.9k
Token cost
~518 tokens
SKILL.md length
201 words
Files
2
Skills in repo
63
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when evaluating Hindenburg-style investigative short reports: evidence chains, promoter networks, stock promotion, related parties, disclosure failures, and catalyst-driven…

  • Works in 4 steps: Identify the public story and who… → Map related parties, promoters, and… → Build a numbered evidence chain. → …
  • Evaluating Hindenburg-style investigative short reports: evidence chains
  • SKILL.md covers When To Use, Do Not Use When, Inputs Needed and Process, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Hindenburg Investigation is an agent skill from questflowai/investorskills. Use when evaluating Hindenburg-style investigative short reports: evidence chains, promoter networks, stock promotion, related parties, disclosure failures, and catalyst-driven short narratives.

Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `invest.md`).

The repository describes itself as: Investor Skills is an open-source library that turns durable investing judgment into portable, structured formats. It collects how great investors think, filter opportunities… The licence is MIT.

When your agent uses it

  • Evaluating Hindenburg-style investigative short reports: evidence chains
  • Promoter networks
  • Stock promotion
  • Related parties

Example prompts

  • “/hindenburg-investigation”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Identify the public story and who promotes it.
  2. Map related parties, promoters, and cash/equity incentives.
  3. Build a numbered evidence chain.
  4. Define catalyst, legal/disclosure angle, short structure, and invalidation.

What it can do on your machine

Read from SKILL.md and the folder at commit 2844d78. 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 (its code samples are markdown).

    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

Hindenburg Investigation loads about 518 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 201 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~518

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 questflowai/investorskills at commit 2844d78, republished under its MIT licence (© questflowai). 201 words, ~518 tokens.

Download SKILL.mdSave it as .claude/skills/hindenburg-investigation/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
hindenburg-investigation
description
Use when evaluating Hindenburg-style investigative short reports: evidence chains, promoter networks, stock promotion, related parties, disclosure failures, and catalyst-driven short narratives.
invest
./invest.md

Hindenburg Investigation

Use this skill to apply Hindenburg Research-style judgment.

When To Use

Use this skill when the user asks for:

  • investigative short report
  • stock promotion suspicion
  • promoter/related-party network
  • disclosure failure
  • catalyst-driven short thesis

Trigger phrases include Hindenburg, investigative short, stock promotion, promoter network, disclosure failure, related party short.

Do Not Use When

  • Another investor skill fits the setup better.
  • Critical primary evidence is unavailable.
  • The user wants guaranteed returns or unbounded risk.
  • The request is generic chatter with no decision.

Inputs Needed

  • Company, startup, token, report target, or market context
  • Primary documents, product data, user/revenue evidence, or research materials
  • Time horizon, capital structure, and risk constraints
  • Valuation or round pricing if sizing/commitment is requested

Process

  1. Identify the public story and who promotes it.
  2. Map related parties, promoters, and cash/equity incentives.
  3. Build a numbered evidence chain.
  4. Define catalyst, legal/disclosure angle, short structure, and invalidation.

Output Format

md
# Hindenburg Investigation View: [Subject]

## Verdict
Publishable Short / Watch / Needs More Evidence / Squeeze Risk / Pass

## Thesis

## Evidence

## Risks

## Action Plan

## Invalidation

## Missing Data

Guardrails

  • Do not force conviction without evidence.
  • Do not ignore incentives, structure, or liquidity/risk constraints.
  • Separate facts, assumptions, and judgment.
  • Do not present this as financial advice.

Questflow Use

In Questflow, this skill is best used as a specialized judgment module for research workflows, Fund theses, diligence, monitoring, and decision support.

© questflowai, MIT. 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 1 other file in skills/hindenburg-investigation of questflowai/investorskills.

  • SKILL.md
  • invest.md

Open the folder on GitHubat commit 2844d78

Compare with similar skills

Hindenburg Investigation 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.

Hindenburg Investigation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hindenburg Investigation this skillquestflowai/investorskills1.9k—~518Automated safety check: PassMIT
Arize Evaluatorgithub/awesome-copilot40k1 repos~8.1kAutomated safety check: NotesMIT
Shortsickn33/agentic-awesome-skills47k1 repos~281Automated safety check: PassMIT
LLM Evaluationdavila7/claude-code-templates33k12 repos~3.5kAutomated safety check: PassMIT
Exploring LLM EvaluationsPostHog/posthog40k—~5.7kAutomated safety check: PassCustom licence
Agent Evaluationsickn33/agentic-awesome-skills47k1 repos~2kAutomated safety check: PassMIT

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Questions about Hindenburg Investigation

What does Hindenburg Investigation do?

A skill your agent uses when evaluating Hindenburg-style investigative short reports: evidence chains, promoter networks, stock promotion, related parties, disclosure failures, and catalyst-driven…. Hindenburg Investigation is an agent skill from questflowai/investorskills. Use when evaluating Hindenburg-style investigative short reports: evidence chains, promoter networks, stock promotion, related parties, disclosure failures, and catalyst-driven short narratives.

When should I use Hindenburg Investigation?

Hindenburg Investigation fits situations like: evaluating Hindenburg-style investigative short reports: evidence chains; promoter networks; stock promotion; related parties.

How do I install Hindenburg Investigation in Claude Code?

Run `npx skills add questflowai/investorskills --skill hindenburg-investigation -a claude-code`. Or copy the skill folder (skills/hindenburg-investigation in questflowai/investorskills) into .claude/skills/hindenburg-investigation in your project. Claude Code loads it when a task matches its description.

How do I install Hindenburg Investigation in Codex?

Run `npx skills add questflowai/investorskills --skill hindenburg-investigation -a codex`. Or copy the skill folder (skills/hindenburg-investigation in questflowai/investorskills) into .agents/skills/hindenburg-investigation in your project. Codex loads it when a task matches its description.

Can I use Hindenburg Investigation 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 questflowai/investorskills --skill hindenburg-investigation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hindenburg-investigation, .gemini/skills/hindenburg-investigation, .github/skills/hindenburg-investigation and .opencode/skills/hindenburg-investigation in your project.

What does Hindenburg Investigation need to run?

SKILL.md names no scripts, command-line tools or credentials: Hindenburg Investigation is instructions for the agent only.

Does Hindenburg Investigation 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 Hindenburg Investigation 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 Hindenburg Investigation use?

Hindenburg Investigation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hindenburg Investigation use?

About 518 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Hindenburg Investigation?

Skills that share tags, products or a category with Hindenburg Investigation: Arize Evaluator (github/awesome-copilot, 40k stars), Short (sickn33/agentic-awesome-skills, 47k stars), LLM Evaluation (davila7/claude-code-templates, 33k stars) and Exploring LLM Evaluations (PostHog/posthog, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hindenburg Investigation?

questflowai (a GitHub organization) maintains it in questflowai/investorskills, which has 1,898 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on August 23, 2026.

Source: questflowai/investorskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.