financeskills
AGENTS.md47 starsChanged 6 months agoMITView on GitHub
Guidelines for AI agents working in this repository. This repository contains Agent Skills for AI agents following the Agent Skills specification. Skills install to .agents/skills/ (the cross-agent standard). This repo also serves as a Claude Code plugin marketplace via .claude-plugin/marketplace.json. Skills are content-only (no build step). Verify manually: - YAML frontmatter is valid - name field matches directory name exactly - name is 1-64 chars, lowercase alphanumeric and hyphens only - description is 1-1024 characters Validation - run before committing:…
- Reads credentials
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,774 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository50 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- llms.txtllms.txt
- ai-anomaly-detectionSkill
- aro-computationSkill
- audit-checklistSkill
- automated-reconciliationSkill
- banking-complianceSkill
- budget-forecastSkill
- close-managementSkill
- company-valuationSkill
- corporate-consolidationSkill
- credit-analysisSkill
- crypto-accountingSkill
- cvp-breakevenSkill
- debt-payoffSkill
- debt-restructuringSkill
- deferred-taxSkill
- earned-value-mgmtSkill
- ecl-computationSkill
- esg-reportingSkill
- financial-analysisSkill
- fixed-asset-accountingSkill
- forensic-accountingSkill
- insurance-reservingSkill
- intercompany-accountingSkill
- inventory-costingSkill
- investment-analysisSkill
- journal-entrySkill
- lbo-modelingSkill
- lease-accountingSkill
- net-worth-trackerSkill
- nlp-earnings-sentimentSkill
- oil-gas-valuationSkill
- personal-budgetingSkill
- predictive-burn-rateSkill
- product-profitabilitySkill
- retirement-planningSkill
- revenue-recognitionSkill
- risk-assessmentSkill
- sox-complianceSkill
- startup-valuationSkill
- statement-preparationSkill
- tax-efficient-investingSkill
- tax-planningSkill
- three-statement-modelingSkill
- treasury-managementSkill
- variance-analysisSkill
- venture-debtSkill
- wacc-computationSkill
- working-capital-analysisSkill
The file
We split this AGENTS.md into the rules it gives an agent
11 rules. About 0 are common, 8 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 43
Validation: - run before committing:
- Very specific: line 82
No consecutive hyphens (--)
- Distinctive: line 83
Must match parent directory name exactly
- Very specific: line 105
Keep SKILL.md under 500 lines (move details to references/)
- Very specific: line 106
Use H2 (##) for main sections, H3 (###) for subsections
- Distinctive: line 107
Use bullet points and numbered lists liberally
- Distinctive: line 134
When to use it (trigger phrases)
- Distinctive: line 159
Do not provide financial advice.
- Distinctive: line 160
Always include a disclaimer that AI outputs should be reviewed by a human professional.
- Distinctive: line 166
Verification: If a skill involves data extraction, verify the sources.
- Distinctive: line 170
When using any skill from this repository:
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AGENTS.md - Instructions for AI Agents
Guidelines for AI agents working in this repository.
Repository Overview
This repository contains Agent Skills for AI agents following the Agent Skills specification. Skills install to .agents/skills/ (the cross-agent standard). This repo also serves as a Claude Code plugin marketplace via .claude-plugin/marketplace.json.
- Name: Finance Skills
- GitHub: GAJETOso/financeskills
- Creator: KOMVIA
- License: MIT
Repository Structure
financeskills/
├── .claude-plugin/
│ ├── plugin.json # Claude Code plugin manifest
│ └── marketplace.json # Claude Code plugin marketplace manifest
├── skills/ # Agent Skills
│ └── skill-name/
│ ├── SKILL.md # Required skill file
│ └── evals/ # Required evaluation suite
├── tools/
│ ├── finance_helpers.py # Shared python utilities
│ └── REGISTRY.md # Tool index with capabilities
├── foundations/ # Core technical guides
├── compliance/ # Regulatory mapping (IFRS/GAAP)
├── CONTRIBUTING.md
├── LICENSE
└── README.mdBuild / Lint / Test Commands
Skills are content-only (no build step). Verify manually:
- YAML frontmatter is valid
namefield matches directory name exactlynameis 1-64 chars, lowercase alphanumeric and hyphens onlydescriptionis 1-1024 characters
Validation - run before committing:
python3 validate_skills.py- enforces this spec: frontmatter constraints, name-dir match, evals.json schema, fixture existence, dead-link detection, <500-line limit, script self-tests, marketplace sync, no compiled artifacts. (./validate-skills.shwraps it.)
Evals (skills/*/evals/evals.json) are runnable benchmarks:
python3 tools/evals/run_evals.py --dry-run- schema + fixture check (no model calls)python3 tools/evals/run_evals.py --skill <name>- run one skill's evals against a model (needsANTHROPIC_API_KEY, or--backend clifor the Claude Code CLI)python3 tools/evals/run_evals.py --all- full regression run; reports land intools/evals/results/- Eval
filesentries are paths relative to the skill directory (fixtures live inevals/files/)
Scripts (skills/*/scripts/calculate.py): 38 of 43 skills ship deterministic calculators with self-tests. Always import these for computations instead of doing mental math - per CLAUDE.md, calculations must be verified with code. The 5 skills without scripts (audit-checklist, sox-compliance, close-management, esg-reporting, nlp-earnings-sentiment) are judgment-based by design.
Standards summaries (standards/) carry an as_of date and a verification footer. Treat them as orientation, not authority - verify against the issuing body's current text for decision-grade output.
Agent Skills Specification
Skills follow the Agent Skills spec.
Required Frontmatter
---
name: skill-name
description: What this skill does and when to use it. Include trigger phrases.
---Frontmatter Field Constraints
| Field | Required | Constraints |
name | Yes | 1-64 chars, lowercase a-z, numbers, hyphens. Must match dir. |
description | Yes | 1-1024 chars. Describe what it does and when to use it. |
license | No | License name (default: MIT) |
metadata | No | Key-value pairs (author, version, etc.) |
Name Field Rules
- Lowercase letters, numbers, and hyphens only
- Cannot start or end with hyphen
- No consecutive hyphens (
--) - Must match parent directory name exactly
Valid: tax-planning, financial-analysis, risk-assessment
Invalid: Tax-Planning, -tax, tax--planning
Optional Skill Directories
skills/skill-name/
├── SKILL.md # Required - main instructions (<500 lines)
├── evals/ # Required - evaluation suite
│ ├── evals.json # Prompts, expected outputs, assertions
│ └── files/ # Fixture data (CSVs etc.) referenced by evals
├── references/ # Optional - detailed docs loaded on demand
├── scripts/ # Optional - executable code (calculate.py with self-tests)
└── assets/ # Optional - output templates, data filesWriting Style Guidelines
Structure
- Keep
SKILL.mdunder 500 lines (move details toreferences/) - Use H2 (
##) for main sections, H3 (###) for subsections - Use bullet points and numbered lists liberally
- Short paragraphs (2-4 sentences max)
Tone
- Direct and instructional
- Second person ("You are a senior financial analyst")
- Professional but approachable
Formatting
- Bold (
**text**) for key terms - Code blocks for examples and templates
- Tables for reference data
- No excessive emojis
Clarity Principles
- Clarity over cleverness
- Specific over vague
- Active voice over passive
- One idea per section
Description Field Best Practices
The description is critical for skill discovery. Include:
- What the skill does
- When to use it (trigger phrases)
- Related skills for scope boundaries
description: When the user wants to analyze corporate financials. Use when the user says "financial analysis," "10-K review," "earnings audit." For risk assessments, see risk-assessment.Claude Code Plugin
This repo also serves as a plugin marketplace. The manifest at .claude-plugin/marketplace.json lists all skills for installation.
Interfaces Beyond Skills
- Slash commands:
commands/*.md- workflow entry points with$ARGUMENTS. - MCP server:
python3 tools/mcp/server.py- exposes everycalculate.pyfunction as<skill>__<function>tools pluslist_skills/get_skill/get_standard/get_template. Stdlib-only. - Connectors:
tools/connectors/(Stripe, Plaid) - the only networked tool code, opt-in, env-var credentials,--mockfor testing. - Provenance:
python3 tools/security/manifest.py --verifychecks all content against MANIFEST.sha256. Regenerate (no --verify) after intentional edits; the validator warns when it is stale.
Ethical Boundaries
- Do not provide financial advice.
- Always include a disclaimer that AI outputs should be reviewed by a human professional.
- Focus on automation and analysis, not speculation.
Core Principles
- Integrity: Audit trails must be clear in every output.
- Precision: Round to appropriate decimal places for the currency being used.
- Verification: If a skill involves data extraction, verify the sources.
Checking for Updates
When using any skill from this repository:
- Once per session, on first skill use, check for updates:
- Fetch
VERSIONS.mdfrom GitHub: https://raw.githubusercontent.com/GAJETOso/financeskills/main/VERSIONS.md - Compare versions against local skill files
- Fetch
- Non-blocking notification at end of response:
--- Skills update available: X finance skills have updates. Say "update skills" to update automatically, or run `git pull` in your financeskills folder.
Imported Claude Cowork project instructions
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

