"grad-agenda-setting"

"grad-agenda-setting" is a skill for Claude Code from charlieviettq/awesome-agent-skill. It costs 97 tokens per session (910 once invoked), scanned A, a copy of grad-agenda-setting, MIT.

A media theory about how repeated coverage makes some issues more noticeable and important in the public’s view, without necessarily telling people what opinion to hold.

In plain words
What is it for?
Use it to analyze media coverage and public concern, compare media and public agendas, or plan communication intended to raise attention to an issue.
Why use it?
It helps distinguish the issues people are thinking about from the opinions they have about those issues. This makes it easier to study how media attention affects public priorities.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to analyze media coverage and public concern, compare media and public agendas, or plan communication intended to raise attention to an issue.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/charlieviettq/awesome-agent-skill/grad-agenda-setting
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add charlieviettq/awesome-agent-skill --skill grad-agenda-setting
Clone the repo
git clone --depth 1 https://github.com/charlieviettq/awesome-agent-skill

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for "grad-agenda-setting"

README.md
[![agentmods](https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/grad-agenda-setting/github.svg)](https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/grad-agenda-setting)
Your own site
<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/grad-agenda-setting"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/grad-agenda-setting/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for "grad-agenda-setting"

Your own site · 80×15
<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/grad-agenda-setting"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/grad-agenda-setting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 910 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 91% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00097 $0.00910
Opus 5 $0.00048 $0.00455
Sonnet 5 $0.00019 $0.00182
Haiku 4.5 $0.00010 $0.00091

Measured 9d ago against content hash ad4b1e4e5fba, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-13, from the pricing page.

Security

Grade A, and why

"grad-agenda-setting" scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

91% identical to grad-agenda-setting — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/grad-agenda-setting/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agenda-Setting Theory

Overview

Agenda-setting theory posits that mass media may not tell people what to think, but powerfully influences what they think about. By selecting, emphasizing, and repeating certain issues, media transfers issue salience from the media agenda to the public agenda.

When to Use

Trigger conditions:

  • Analyzing how media coverage shapes public issue priorities
  • Evaluating the relationship between media attention and public concern
  • Designing strategic communication to elevate issue salience

When NOT to use:

  • When analyzing HOW people think about issues (use framing theory instead)
  • When studying long-term worldview formation (use cultivation theory instead)
  • When examining minority opinion suppression (use spiral of silence instead)

Assumptions

IRON LAW: Media May Not Tell People WHAT to Think, But It Tells Them WHAT TO THINK ABOUT

Issue salience is transferred from media to public agenda. The MORE
coverage an issue receives, the MORE important the public perceives it
to be — regardless of objective importance. This operates at two levels:
1. First level: OBJECT salience (which issues matter)
2. Second level: ATTRIBUTE salience (which aspects of issues matter)

Methodology

Step 1: Identify Agendas

Define the media agenda (content analysis of coverage frequency/prominence) and public agenda (survey data on "most important problem").

Step 2: Measure Salience

Quantify issue salience on both agendas. Media: column inches, airtime, front-page placement. Public: survey rankings, social media volume.

Step 3: Analyze Transfer

Examine the correlation between media salience and public salience over time. Account for time lag (typically 4-8 weeks for traditional media).

Step 4: Assess Contingent Conditions

Evaluate moderators: need for orientation (relevance + uncertainty), obtrusiveness of issues, media credibility, audience characteristics.

Output Format

# Agenda-Setting Analysis: {Issue/Context}

## Media Agenda
- Issues ranked by salience: {list with coverage metrics}
- Time period: {dates analyzed}
- Sources: {media outlets examined}

## Public Agenda
- Issues ranked by perceived importance: {survey/social data}
- Measurement method: {MIP survey, social media analysis, etc.}

## Salience Transfer
- Correlation: {media-public agenda correlation}
- Time lag: {observed lag period}
- Direction: {media→public, public→media, or intermedia}

## Moderating Factors
- Need for orientation: {high/low and why}
- Issue obtrusiveness: {obtrusive vs unobtrusive}

## Implications
{Strategic recommendations based on findings}

Read the full file on GitHub · 90 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 90 lines · 97 tokens per session scan A ad4b1e4e5fba

Subscribe to this mod's changes

"grad-agenda-setting" is a skill published in the GitHub repository charlieviettq/awesome-agent-skill (26 stars, last pushed 1mo ago), licensed MIT. It adds 97 tokens to every session and 910 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to grad-agenda-setting, differing in 8 lines, and is treated as a copy.

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