Agent skill

Soc Policy Analysis

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

Conduct structured policy analysis including problem definition, alternative evaluation, and evidence-based recommendation.

MITAuto-check passed

Install Soc Policy Analysis

skills CLI
$ npx skills add asgard-ai-platform/skills --skill soc-policy-analysis -a claude-code

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

GitHub CLI
$ gh skill install asgard-ai-platform/skills soc-policy-analysis --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/soc-policy-analysis .claude/skills/soc-policy-analysis && 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
soc-policy-analysis
GitHub stars
242
Token cost
~1.4k tokens
SKILL.md length
472 words
Files
4 (incl. references)
Skills in repo
207
Repo updated
First seen
Licence
MIT

At a glance

Conduct structured policy analysis including problem definition, alternative evaluation, and evidence-based recommendation.

  • The user needs to evaluate policy options
  • SKILL.md covers Overview, Framework, Output Format and Examples, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Compare interventions

What it does

Soc Policy Analysis is an agent skill from asgard-ai-platform/skills. Conduct structured policy analysis including problem definition, alternative evaluation, and evidence-based recommendation. Use this skill when the user needs to evaluate policy options, compare interventions, assess regulatory impact, or make public sector recommendations — even if they say 'which policy should we adopt', 'what's the best approach to this public problem', or 'evaluate these policy alternatives'.

Its SKILL.md is about 1.4k 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/cost-benefit.md` and `references/evidence-hierarchy.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 policy options
  • Compare interventions
  • Assess regulatory impact
  • Make public sector recommendations — even if they say which policy should we adopt

Example prompts

  • “which policy should we adopt”
  • “s the best approach to this public problem”
  • “evaluate these policy alternatives”
  • “/soc-policy-analysis”

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

Soc Policy Analysis loads about 1.4k tokens when it runs, and up to ~6.8k if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 472 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.8k

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). 472 words, ~1,414 tokens.

Download SKILL.mdSave it as .claude/skills/soc-policy-analysis/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
soc-policy-analysis
description
Conduct structured policy analysis including problem definition, alternative evaluation, and evidence-based recommendation. Use this skill when the user needs to evaluate policy options, compare interventions, assess regulatory impact, or make public sector recommendations — even if they say 'which policy should we adopt', 'what's the best approach to this public problem', or 'evaluate these policy alternatives'.
metadata.category
WP-18 社會科學院
metadata.tags
social-science, policy-analysis, public-policy

Policy Analysis

Overview

Policy analysis is a systematic method for evaluating alternative courses of action to address public problems. It follows a structured process: define the problem → identify alternatives → establish criteria → evaluate → recommend. It applies to government policy, corporate policy, and organizational decision-making.

Framework

IRON LAW: Problem Definition Determines Everything

How you define the problem determines which solutions are considered.
"Traffic congestion" suggests road-building. "Excessive car dependency"
suggests public transit. "Inefficient land use" suggests zoning reform.

The same observable situation can be framed as different problems,
leading to completely different policy responses. Make the framing
explicit and examine alternatives.
The Six Steps

1. Define the Problem

  • What is the problem? (observable evidence, not just symptoms)
  • Who is affected? How severely?
  • What causes it? (root cause, not proximate cause)
  • How is the problem framed? Are there alternative framings?

2. Identify Alternatives

  • Status quo (do nothing — always include as baseline)
  • Incremental options (modify existing policy)
  • Transformative options (fundamentally new approach)
  • Aim for 3-5 genuine alternatives, not strawmen

3. Establish Evaluation Criteria Common criteria:

CriterionQuestion
EffectivenessDoes it solve the problem?
EfficiencyBenefit relative to cost?
EquityWho bears the costs? Who gets the benefits?
FeasibilityPolitical, administrative, and technical viability?
SustainabilityCan it be maintained long-term?

4. Evaluate Alternatives Score each alternative against each criterion. Use evidence (data, case studies, research) wherever possible. Acknowledge uncertainty.

5. Recommend Select the alternative with the best overall profile. Justify the trade-offs explicitly — no alternative will score highest on every criterion.

6. Implementation Considerations

  • Political feasibility: Who needs to approve? Who might oppose?
  • Administrative capacity: Can existing institutions implement this?
  • Timeline and phasing
  • Monitoring and evaluation plan

Output Format

markdown
# Policy Analysis: {Problem}

## Problem Definition
- Problem: {description}
- Affected population: {who}
- Root cause: {analysis}
- Alternative framings: {other ways to define this problem}

## Alternatives
1. Status quo
2. {Option A}
3. {Option B}
4. {Option C}

## Evaluation Matrix
| Criterion | Status Quo | Option A | Option B | Option C |
|-----------|-----------|----------|----------|----------|
| Effectiveness | L/M/H | L/M/H | L/M/H | L/M/H |
| Efficiency | L/M/H | ... | ... | ... |
| Equity | L/M/H | ... | ... | ... |
| Feasibility | L/M/H | ... | ... | ... |

## Recommendation
**{Selected option}** — {justification including trade-off acknowledgment}

## Implementation Plan
- Political path: {approval process}
- Timeline: {phases}
- Monitoring: {how to measure success}

Examples

Correct Application

Scenario: Policy analysis for reducing food delivery rider injuries in Taipei

  • Problem: 45% increase in delivery rider traffic injuries (2023-2024)
  • Alternatives: (1) Status quo, (2) Mandatory insurance + training, (3) Speed limits on delivery apps during peak hours, (4) Platform liability for rider injuries
  • Evaluation: Option 2 scores highest on feasibility (incremental) and effectiveness (directly addresses risk); Option 4 is most effective but politically difficult (platform lobbying)
  • Recommendation: Option 2 as immediate action, with Option 4 as medium-term legislative goal ✓
Show full SKILL.md (171 more words)Show less
Incorrect Application
  • "The problem is delivery riders drive too fast" → Symptom, not root cause. WHY do they drive fast? Because platform algorithms reward speed, per-delivery pay incentivizes rushing, and there's no penalty for unsafe driving. Different root causes lead to different solutions. Violates Iron Law: problem definition determines everything.

Gotchas

  • Always include status quo: "Do nothing" is a valid option and the baseline for comparison. Sometimes it's the best option if alternatives are worse.
  • Avoid strawman alternatives: Including obviously bad options to make your preferred option look good is intellectually dishonest. All alternatives should be genuine.
  • Equity is often traded for efficiency: Policies that are most efficient often have unequal distributional impacts. Make this trade-off explicit.
  • Implementation kills good policy: A brilliant policy that can't be implemented is worthless. Feasibility is not a secondary criterion — it's a prerequisite.
  • Evidence hierarchy: RCTs > quasi-experiments > case studies > expert opinion > anecdote. Use the strongest evidence available, and be explicit about evidence quality.

References

  • For cost-benefit analysis methodology, see references/cost-benefit.md
  • For evidence-based policy frameworks, see references/evidence-hierarchy.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 soc-policy-analysis of asgard-ai-platform/skills.

  • SKILL.md
  • examples/sample_scenario.md
  • references/cost-benefit.md
  • references/evidence-hierarchy.md

Open the folder on GitHubat commit 4e7f4f8

Compare with similar skills

Soc Policy Analysis 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.

Soc Policy Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Soc Policy Analysis this skillasgard-ai-platform/skills242—~1.4kAutomated safety check: PassMIT
Implementing Policy As Code With Open Policy Agentmukul975/Anthropic-Cybersecurity-Skills34k—~2.6kAutomated safety check: NotesApache-2.0
Code Of Conductsickn33/agentic-awesome-skills47k1 repos~6.7kAutomated safety check: PassMIT
Is This A Problemanthropics/claude-for-legal9.6k2 repos~2.3kAutomated safety check: PassApache-2.0
Policy Acknowledgementsickn33/agentic-awesome-skills47k1 repos~3.4kAutomated safety check: PassMIT
Privacy Policythedaviddias/Front-End-Checklist74k—~617Automated safety check: PassMIT

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  • Implementing Policy As Code With Open Policy Agent

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  • Code Of Conduct

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Questions about Soc Policy Analysis

What does Soc Policy Analysis do?

Conduct structured policy analysis including problem definition, alternative evaluation, and evidence-based recommendation. Soc Policy Analysis is an agent skill from asgard-ai-platform/skills. Conduct structured policy analysis including problem definition, alternative evaluation, and evidence-based recommendation.

When should I use Soc Policy Analysis?

Soc Policy Analysis fits situations like: the user needs to evaluate policy options; compare interventions; assess regulatory impact; make public sector recommendations — even if they say which policy should we adopt.

How do I install Soc Policy Analysis in Claude Code?

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

How do I install Soc Policy Analysis in Codex?

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

Can I use Soc Policy Analysis 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 soc-policy-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/soc-policy-analysis, .gemini/skills/soc-policy-analysis, .github/skills/soc-policy-analysis and .opencode/skills/soc-policy-analysis in your project.

What does Soc Policy Analysis need to run?

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

Does Soc Policy Analysis 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 Soc Policy Analysis 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 Soc Policy Analysis use?

Soc Policy Analysis 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 Soc Policy Analysis use?

About 1.4k tokens (SKILL.md is roughly 5.7k 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 5.4k tokens, read only when the agent opens those files.

What are the alternatives to Soc Policy Analysis?

Skills that share tags, products or a category with Soc Policy Analysis: Implementing Policy As Code With Open Policy Agent (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Code Of Conduct (sickn33/agentic-awesome-skills, 47k stars), Is This A Problem (anthropics/claude-for-legal, 9.6k stars) and Policy Acknowledgement (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Soc Policy Analysis?

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.