tokenomics-evaluation SKILL.md skillA
tokenomics-evaluation from nirholas/three.ws is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nirholas/three.ws/tokenomics-evaluation@git:20260501.87cefc9Pins git:20260501.87cefc9 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nirholas/three.ws
- Path
data/skills/analysis/tokenomics-evaluation/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260501.87cefc9, committed May 1, 2026
- Size
- 4,545 bytes
- Repository stars
- 269
- License
- Apache-2.0
Evaluate token economic models by analyzing supply mechanics, distribution, utility, value accrual mechanisms, and emission schedules to assess long-term token value sustainability.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Tokenomics Evaluation ## When to use this skill Use when the user asks about: - Evaluating a token's economic model - Understanding token supply and emission schedules - Assessing whether tokenomics support long-term value - Comparing tokenomics across competing projects - Identifying tokenomics red flags before investing ## Evaluation Framework ### 1. Supply Structure Map the complete supply picture: - **Max supply**: Is there a hard cap or infinite supply? - **Total supply**: All tokens created to date - **Circulating supply**: Tokens currently in the market - **Supply ratio**: Circulating / Total — low ratio means significant future dilution - **Emission schedule**: Plot supply over 1, 2, 5 years - **Inflation rate**: Annual percentage increase in circulating supply - **Burn mechanisms**: Any deflationary counters to emissions? ### 2. Distribution Analysis Assess how tokens are allocated: | Category | Percentage | Vesting | Concern Level | |----------|-----------|---------|---------------| | Team | X% | Y months cliff + Z vest | Normal: 15-20% | | Investors (seed/private) | X% | Y months cliff + Z vest | Normal: 15-25% | …
Read the whole file at its exact version.
How to install
mdr add nirholas/three.ws/tokenomics-evaluation@sha256:0735e861b835445bThe line at the top of this page pins the label git:20260501.87cefc9, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_vk4pu3ab7e7l4jz7)
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Versions
The registry has recorded 1 version of this file, committed on May 1, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4545 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
nirholas/three.ws · 269 stars · license Apache-2.0 · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vk4pu3ab7e7l4jz7 GET https://markdownregistry.com/api/v1/resolve?ref=nirholas/three.ws/tokenomics-evaluation GET https://markdownregistry.com/api/v1/blob/0735e861b835445bb8f6db7d6341b6b9f26e50527e8a28de3ead01670496da50
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.