Agent skill

Edgar Forensics

by hh-health-AI in hh-health-AI/healthcare-equity

This skill should be used when the user asks for a "forensic scan", "quality of earnings", "red flags in the filings", "is the revenue real", "accounting risk", "channel stuffing", "reserve…

MITAuto-check passedBusiness, Finance & HR

Install Edgar Forensics

skills CLI
$ npx skills add hh-health-AI/healthcare-equity --skill edgar-forensics -a claude-code

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

GitHub CLI
$ gh skill install hh-health-AI/healthcare-equity edgar-forensics --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/hh-health-AI/healthcare-equity.git skills-src && mkdir -p .claude/skills && cp -r skills-src/modules/sec-forensics/skills/edgar-forensics .claude/skills/edgar-forensics && 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
edgar-forensics
GitHub stars
101
Token cost
~802 tokens
SKILL.md length
393 words
Files
2 (incl. references)
Skills in repo
72
Repo updated
First seen
Licence
MIT

At a glance

This skill should be used when the user asks for a "forensic scan", "quality of earnings", "red flags in the filings", "is the revenue real", "accounting risk", "channel stuffing", "reserve…

  • Works in 8 steps: Resolve the issuer to a CIK and pull… → Run the ratio panel… → Apply the sector overlay. Match the… → …
  • Asks for a forensic scan
  • SKILL.md covers Workflow, Discipline and Not-automatic
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Edgar Forensics is an agent skill from hh-health-AI/healthcare-equity. This skill should be used when the user asks for a "forensic scan", "quality of earnings", "red flags in the filings", "is the revenue real", "accounting risk", "channel stuffing", "reserve release", "non-GAAP bridge", or wants a filings-based integrity check on a healthcare issuer before initiating or shorting.

Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/healthcare-red-flags.md`).

It sits in Business, Finance & HR, covering Accounting and bookkeeping. The repository describes itself as: Synthesis engine for buy-side healthcare equity research. The licence is MIT.

When your agent uses it

  • Asks for a forensic scan
  • Quality of earnings
  • Red flags in the filings
  • Is the revenue real

Example prompts

  • “forensic scan”
  • “quality of earnings”
  • “red flags in the filings”
  • “/edgar-forensics”

Workflow steps

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

  1. Resolve the issuer to a CIK and pull company facts
  2. Run the ratio panel (scripts/forensic_ratios.py) across at least 12 quarters
  3. Apply the sector overlay. Match the issuer to a business model and read the
  4. Read the words, not just the numbers. Full-text search the filings
  5. Check the non-GAAP bridge. List every add-back for the last eight quarters and
  6. Corroborate externally, or stand down. A revenue-recognition suspicion should be
  7. State the falsifier. Write the specific disclosure that would clear the flag,
  8. Emit the brief.

What it can do on your machine

Read from SKILL.md and the folder at commit 6c7bda8. 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

Edgar Forensics loads about 802 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 393 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~802
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.7k

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 hh-health-AI/healthcare-equity at commit 6c7bda8, republished under its MIT licence (© hh-health-AI). 393 words, ~802 tokens.

Download SKILL.mdSave it as .claude/skills/edgar-forensics/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
edgar-forensics
description
This skill should be used when the user asks for a "forensic scan", "quality of earnings", "red flags in the filings", "is the revenue real", "accounting risk", "channel stuffing", "reserve release", "non-GAAP bridge", or wants a filings-based integrity check on a healthcare issuer before initiating or shorting.
metadata.version
0.1.0
metadata.layer
Financial

EDGAR forensic scan

Run a healthcare-tuned accounting red-flag screen from XBRL company facts and filing text, and convert anything found into a testable claim rather than an insinuation.

Workflow

  1. Resolve the issuer to a CIK and pull company facts (scripts/edgar_client.py --cik 0000320193 --facts).
  2. Run the ratio panel (scripts/forensic_ratios.py) across at least 12 quarters: DSO, DIO, receivables growth versus revenue growth, gross margin trend, accruals ratio, cash conversion (CFO ÷ net income), capitalised software as a share of R&D, deferred revenue movement, and — where the taxonomy exposes it — rebate and chargeback accruals as a share of gross revenue.
  3. Apply the sector overlay. Match the issuer to a business model and read the ratios through the right lens. The same DSO increase means something different for a hospital operator (payer mix or denial rates), a medtech (distributor loading), and a specialty pharma (channel and gross-to-net).
  4. Read the words, not just the numbers. Full-text search the filings (--search) for: change in accounting estimate, restatement, material weakness, going concern, subsequent event, auditor change, segment redefinition, and any change in the wording of the revenue-recognition policy. A quietly reworded policy note is worth more than any ratio.
  5. Check the non-GAAP bridge. List every add-back for the last eight quarters and flag any that recurs in five or more. Recurring "one-time" items are the most reliable single indicator that management is managing the number.
  6. Corroborate externally, or stand down. A revenue-recognition suspicion should be tested against an independent volume series (rx-utilization → sdud-trx-proxy or provider-economics → hospital-margin-forensics). A red flag with no external corroboration is a question for the next call, not a thesis.
  7. State the falsifier. Write the specific disclosure that would clear the flag, and the date it is next expected. This is what makes the brief actionable.
  8. Emit the brief.
Show full SKILL.md (91 more words)Show less

Discipline

Rank findings by whether they affect cash, the trajectory, or only presentation. Presentation issues are common and rarely move a stock alone; cash issues are rare and usually terminal. Do not present a presentation issue with the rhetoric of a cash issue.

Never assert fraud. Describe the accounting choice, its effect on reported numbers, and the disclosure that would resolve it.

Not-automatic

A red-flag ratio does not license a fraud claim or a short. It licenses a specific question, a corroboration attempt, and a named falsifier.

Reference: references/healthcare-red-flags.md. Contract: ../../references/evidence-brief.md.

© hh-health-AI, 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 (references) in modules/sec-forensics/skills/edgar-forensics of hh-health-AI/healthcare-equity.

  • SKILL.md
  • references/healthcare-red-flags.md

Open the folder on GitHubat commit 6c7bda8

Compare with similar skills

Edgar Forensics 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.

Edgar Forensics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Edgar Forensics this skillhh-health-AI/healthcare-equity101—~802Automated safety check: PassMIT
Sync Upstreamnyaruka/phonenumbers1.6k—~2.8kAutomated safety check: PassMIT
Radiology Tablehuang-sir1/radiology-skills1.9k—~1.3kAutomated safety check: PassCustom licence
ERPClaw ERP Controlleravansaber/erpclaw116—~18kAutomated safety check: PassGPL-3.0
Odoo Agency Fleet Reviewerpipe-org/mcp-odoo421—~699Automated safety check: PassMIT
Beancount Closebex-co/beancount-io297—~1.4kAutomated safety check: PassMIT

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Questions about Edgar Forensics

What does Edgar Forensics do?

This skill should be used when the user asks for a "forensic scan", "quality of earnings", "red flags in the filings", "is the revenue real", "accounting risk", "channel stuffing", "reserve…. Edgar Forensics is an agent skill from hh-health-AI/healthcare-equity. This skill should be used when the user asks for a "forensic scan", "quality of earnings", "red flags in the filings", "is the revenue real", "accounting risk", "channel stuffing", "reserve release", "non-GAAP bridge", or wants a filings-based integrity check on a healthcare issuer before initiating or shorting.

When should I use Edgar Forensics?

Edgar Forensics fits situations like: asks for a forensic scan; quality of earnings; red flags in the filings; is the revenue real.

How do I install Edgar Forensics in Claude Code?

Run `npx skills add hh-health-AI/healthcare-equity --skill edgar-forensics -a claude-code`. Or copy the skill folder (modules/sec-forensics/skills/edgar-forensics in hh-health-AI/healthcare-equity) into .claude/skills/edgar-forensics in your project. Claude Code loads it when a task matches its description.

How do I install Edgar Forensics in Codex?

Run `npx skills add hh-health-AI/healthcare-equity --skill edgar-forensics -a codex`. Or copy the skill folder (modules/sec-forensics/skills/edgar-forensics in hh-health-AI/healthcare-equity) into .agents/skills/edgar-forensics in your project. Codex loads it when a task matches its description.

Can I use Edgar Forensics 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 hh-health-AI/healthcare-equity --skill edgar-forensics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/edgar-forensics, .gemini/skills/edgar-forensics, .github/skills/edgar-forensics and .opencode/skills/edgar-forensics in your project.

What does Edgar Forensics need to run?

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

Does Edgar Forensics 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 Edgar Forensics 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 Edgar Forensics use?

Edgar Forensics 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 Edgar Forensics use?

About 802 tokens (SKILL.md is roughly 3.2k 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 851 tokens, read only when the agent opens those files.

What are the alternatives to Edgar Forensics?

Skills that share tags, products or a category with Edgar Forensics: Sync Upstream (nyaruka/phonenumbers, 1.6k stars), Radiology Table (huang-sir1/radiology-skills, 1.9k stars), ERPClaw ERP Controller (avansaber/erpclaw, 116 stars) and Odoo Agency Fleet Review (erpipe-org/mcp-odoo, 421 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Edgar Forensics?

hh-health-AI (a GitHub user) maintains it in hh-health-AI/healthcare-equity, which has 101 GitHub stars. The repository holds 72 skills in this directory. The repository was last updated on October 8, 2026.

Source: hh-health-AI/healthcare-equity on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.