grad-mechanism-design SKILL.md skillA
grad-mechanism-design from martineserios/thebrana is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add martineserios/thebrana/grad-mechanism-design@git:20260808.79db3bfPins git:20260808.79db3bf in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- martineserios/thebrana
- Path
system/skills/grad-mechanism-design/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260808.79db3bf, committed Aug 8, 2026
- First version recorded
- Aug 6, 2026
- Size
- 5,384 bytes
- Repository stars
- 3
- License
- MIT
Mechanism design (reverse game theory): incentive-compatible rules for allocation — auctions, voting, matching. Use when designing or evaluating a mechanism for incentive compatibility and rationality.
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
# Mechanism Design: Reverse Game Theory and Incentive Compatibility ## Overview Mechanism design is the engineering side of game theory: instead of analyzing given games, you design the rules so that self-interested agents produce a desired outcome. The central tool is the revelation principle, which shows that any implementable outcome can be achieved by a direct mechanism where truth-telling is optimal. The field underpins auction design, voting systems, matching markets, and regulatory frameworks. ## When to Use - Designing allocation rules (auctions, matching, resource sharing) where participants have private information - Evaluating whether a proposed institution or platform incentivizes truthful behavior - Assessing trade-offs between efficiency, budget balance, and participation constraints ## When NOT to Use - Agents are fully cooperative with no private information (no incentive problem exists) - The environment is too complex to model agent types (use behavioral experiments instead) - You need a quick heuristic rather than a formal guarantee ## Assumptions ``` IRON LAW: A mechanism is incentive-compatible ONLY if truth-telling is a …
Read the whole file at its exact version.
How to install
mdr add martineserios/thebrana/grad-mechanism-design@sha256:1f4fe95fca5f86aeThe line at the top of this page pins the label git:20260808.79db3bf, 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_ioz5jmxz7dc7hacu)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Aug 6, 2026 and Aug 8, 2026, about one every 3 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260808.79db3bf latest | 2026-08-08 | 79db3bf | 5,384 B | A | view · diff |
| git:20260806.b6c2b35 | 2026-08-06 | b6c2b35 | 5,380 B | A | view |
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 (5384 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
martineserios/thebrana · 3 stars · license MIT · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ioz5jmxz7dc7hacu GET https://markdownregistry.com/api/v1/resolve?ref=martineserios/thebrana/grad-mechanism-design GET https://markdownregistry.com/api/v1/blob/1f4fe95fca5f86ae5a58da41605eb8a8c7c4ee8daede829d7001563d868c2024
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.