Agent skill

Grad Governance

by asgard-ai-platform in asgard-ai-platform/skills

Apply governance theory to analyze multi-level, network, and collaborative governance arrangements beyond traditional government.

MITAuto-check passed

Install Grad Governance

skills CLI
$ npx skills add asgard-ai-platform/skills --skill grad-governance -a claude-code

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

GitHub CLI
$ gh skill install asgard-ai-platform/skills grad-governance --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/grad-governance .claude/skills/grad-governance && 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
grad-governance
GitHub stars
242
Token cost
~1.2k tokens
SKILL.md length
317 words
Files
4 (incl. references)
Skills in repo
207
Repo updated
First seen
Licence
MIT

At a glance

Apply governance theory to analyze multi-level, network, and collaborative governance arrangements beyond traditional government.

  • Works in 4 steps: Map the Governance Arrangement → Classify the Governance Mode → Assess Performance → …
  • The user needs to evaluate public-private partnerships
  • SKILL.md covers Overview, When to Use, Assumptions and Methodology, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Grad Governance is an agent skill from asgard-ai-platform/skills. Apply governance theory to analyze multi-level, network, and collaborative governance arrangements beyond traditional government. Use this skill when the user needs to evaluate public-private partnerships, analyze multi-stakeholder governance structures, compare governance models across sectors, or assess institutional arrangements for collective decision-making — even if they say 'who governs this', 'public-private collaboration', or 'how are decisions made across organizations'.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/evaluation-criteria.md` and `references/multi-level.md`).

The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.

When your agent uses it

  • The user needs to evaluate public-private partnerships
  • Analyze multi-stakeholder governance structures
  • Compare governance models across sectors
  • Assess institutional arrangements for collective decision-making — even if they say who governs this

Example prompts

  • “who governs this”
  • “public-private collaboration”
  • “how are decisions made across organizations”
  • “/grad-governance”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Map the Governance Arrangement
  2. Classify the Governance Mode
  3. Assess Performance
  4. Diagnose Failures

What it can do on your machine

Read from SKILL.md and the folder at commit 4e7f4f8. 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

Grad Governance loads about 1.2k tokens when it runs, and up to ~9k if it reads all its reference files. Until then it costs about 125 tokens; SKILL.md has 317 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~125
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9k

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 asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 317 words, ~1,177 tokens.

Download SKILL.mdSave it as .claude/skills/grad-governance/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
grad-governance
description
Apply governance theory to analyze multi-level, network, and collaborative governance arrangements beyond traditional government. Use this skill when the user needs to evaluate public-private partnerships, analyze multi-stakeholder governance structures, compare governance models across sectors, or assess institutional arrangements for collective decision-making — even if they say 'who governs this', 'public-private collaboration', or 'how are decisions made across organizations'.
metadata.category
WP-33 傳播/教育/公共行政
metadata.tags
public-administration, governance, network-governance, ppp

Governance Theory

Overview

Governance theory examines how collective decisions are made and implemented through arrangements that extend beyond traditional government. It encompasses multi-level governance, network governance, public-private partnerships, and corporate governance, recognizing that governing increasingly involves non-state actors, markets, and networks.

When to Use

Trigger conditions:

  • Analyzing decision-making structures involving multiple stakeholders across sectors
  • Evaluating public-private partnerships or collaborative governance arrangements
  • Comparing governance models (hierarchical, market, network)

When NOT to use:

  • When analyzing individual policy decisions (use policy streams model)
  • When studying stakeholder prioritization within a single organization (use stakeholder theory)
  • When analyzing public official behavior as self-interested agents (use public choice theory)

Assumptions

IRON LAW: Governance Is NOT Government

Governance includes non-state actors, networks, and market mechanisms
in collective decision-making. Three ideal types:
1. HIERARCHY: authority-based, top-down, bureaucratic rules
2. MARKET: competition-based, price signals, contracts
3. NETWORK: trust-based, reciprocity, negotiation
No real-world arrangement is purely one type — governance analysis
identifies the MIX and evaluates its appropriateness for the context.

Methodology

Step 1: Map the Governance Arrangement

Identify all actors (state, private, civil society), their roles, authority relationships, and resource dependencies.

Step 2: Classify the Governance Mode

Determine the dominant governance mode (hierarchy, market, network) and assess the mix. Evaluate formal rules, informal norms, and power dynamics.

Step 3: Assess Performance

Evaluate against governance criteria: legitimacy, accountability, effectiveness, efficiency, equity, transparency. Identify trade-offs between criteria.

Step 4: Diagnose Failures

Identify governance failures: hierarchy failure (rigidity, bureaucratic pathology), market failure (externalities, information asymmetry), network failure (free-riding, exclusion, groupthink).

Output Format

markdown
# Governance Analysis: {Context/Policy Area}

## Actors and Roles
| Actor | Sector | Role | Resources | Authority |
|-------|--------|------|-----------|-----------|
| ... | State/Private/Civil Society | ... | ... | ... |

## Governance Mode
- Dominant mode: {hierarchy/market/network}
- Mix: {how modes combine}
- Formal rules: {legal/regulatory framework}
- Informal norms: {trust, reciprocity, power dynamics}

## Performance Assessment
| Criterion | Rating | Evidence |
|-----------|--------|----------|
| Legitimacy | ... | ... |
| Accountability | ... | ... |
| Effectiveness | ... | ... |
| Equity | ... | ... |

## Governance Failures
{Identified failures and their root causes}

## Recommendations
{Governance design improvements}

Gotchas

  • Governance ≠ good governance: Governance is descriptive (how decisions ARE made). Good governance is normative (how decisions SHOULD be made). Don't conflate analysis with prescription.
  • Network romanticism: Network governance is not inherently superior to hierarchy. Networks can exclude, reproduce inequality, and lack democratic accountability.
  • Accountability gaps: Multi-level and network governance creates accountability challenges. When "everyone governs," no one may be accountable for outcomes.
  • Context dependency: Governance arrangements that work in one institutional context may fail in another. Culture, legal tradition, and capacity affect governance effectiveness.
  • Shadow of hierarchy: Even in network governance, government often retains ultimate authority. The "shadow of hierarchy" shapes network behavior even when not directly exercised.

References

  • For multi-level governance frameworks, see references/multi-level.md
  • For governance evaluation criteria and indicators, see references/evaluation-criteria.md

© asgard-ai-platform, 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 3 other files (references) in grad-governance of asgard-ai-platform/skills.

  • SKILL.md
  • examples/sample_scenario.md
  • references/evaluation-criteria.md
  • references/multi-level.md

Open the folder on GitHubat commit 4e7f4f8

Compare with similar skills

Grad Governance 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.

Grad Governance compared with similar skills
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Grad Governance this skillasgard-ai-platform/skills242—~1.2kAutomated safety check: PassMIT
Govern Theory Buildingbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
Docs Governanceaffaan-m/ECC277k—~1.1kAutomated safety check: PassMIT
Board Governancesickn33/agentic-awesome-skills47k1 repos~4.1kAutomated safety check: PassMIT
Agent Governancegithub/awesome-copilot40k2 repos~4.6kAutomated safety check: PassMIT
Model Registry Governancesickn33/agentic-awesome-skills47k2 repos~3.9kAutomated safety check: PassMIT

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Questions about Grad Governance

What does Grad Governance do?

Apply governance theory to analyze multi-level, network, and collaborative governance arrangements beyond traditional government. Grad Governance is an agent skill from asgard-ai-platform/skills. Apply governance theory to analyze multi-level, network, and collaborative governance arrangements beyond traditional government.

When should I use Grad Governance?

Grad Governance fits situations like: the user needs to evaluate public-private partnerships; analyze multi-stakeholder governance structures; compare governance models across sectors; assess institutional arrangements for collective decision-making — even if they say who governs this.

How do I install Grad Governance in Claude Code?

Run `npx skills add asgard-ai-platform/skills --skill grad-governance -a claude-code`. Or copy the skill folder (grad-governance in asgard-ai-platform/skills) into .claude/skills/grad-governance in your project. Claude Code loads it when a task matches its description.

How do I install Grad Governance in Codex?

Run `npx skills add asgard-ai-platform/skills --skill grad-governance -a codex`. Or copy the skill folder (grad-governance in asgard-ai-platform/skills) into .agents/skills/grad-governance in your project. Codex loads it when a task matches its description.

Can I use Grad Governance 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 asgard-ai-platform/skills --skill grad-governance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/grad-governance, .gemini/skills/grad-governance, .github/skills/grad-governance and .opencode/skills/grad-governance in your project.

What does Grad Governance need to run?

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

Does Grad Governance 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 Grad Governance 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 Grad Governance use?

Grad Governance 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 Grad Governance use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 7.8k tokens, read only when the agent opens those files.

What are the alternatives to Grad Governance?

Skills that share tags, products or a category with Grad Governance: Govern Theory Building (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Docs Governance (affaan-m/ECC, 277k stars), Board Governance (sickn33/agentic-awesome-skills, 47k stars) and Agent Governance (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Grad Governance?

asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.

Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.