Grad Framing

What it does

When your agent uses it

• The user needs to deconstruct media
• Organizational frames
• Evaluate how different frames affect audience perception and decision-making
• Design strategic communication frames — even if they say how is this issue being portrayed

Example prompts

• “how is this issue being portrayed”
• “why do people see this differently”
• “how should we frame this message”
• “/grad-framing”

Workflow steps

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

1. 1Identify Frames
2. 2Analyze Frame Elements
3. 3Compare Frame Effects
4. 4Evaluate Frame Competition

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 Framing loads about 1.1k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 321 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~112

When it runs · the whole SKILL.md, loaded when a task matches

~1.1k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~3.1k

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

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). 321 words, ~1,096 tokens.

name

grad-framing

description

Apply framing theory to analyze how selection, emphasis, and exclusion shape interpretation of issues. Use this skill when the user needs to deconstruct media or organizational frames, evaluate how different frames affect audience perception and decision-making, or design strategic communication frames — even if they say 'how is this issue being portrayed', 'why do people see this differently', or 'how should we frame this message'.

metadata.category

WP-33 傳播/教育/公共行政

metadata.tags

communication, framing, media-effects, persuasion

IRON LAW: Framing Is About SELECTION and SALIENCE

The same facts presented in different frames lead to different
interpretations and decisions. A frame:
1. SELECTS some aspects of perceived reality
2. Makes them MORE SALIENT in communication
3. Promotes a particular problem definition, causal interpretation,
   moral evaluation, or treatment recommendation (Entman, 1993)
There is no "unframed" message — all communication involves framing choices.

# Frame Analysis: {Issue/Topic}

## Identified Frames
| Frame | Problem Definition | Causal Attribution | Moral Judgment | Treatment |
|-------|-------------------|-------------------|----------------|-----------|
| {Frame A} | ... | ... | ... | ... |
| {Frame B} | ... | ... | ... | ... |

## Dominant Frame
- Frame: {which frame dominates}
- Promoted by: {actors/sources}
- Evidence: {frequency, prominence, resonance}

## Frame Effects
- On interpretation: {how audiences read the issue}
- On attribution: {who/what is blamed}
- On policy preference: {what solutions are favored}

## Counter-Frames
{Alternative frames, their sponsors, and competitive dynamics}

© 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-framing of asgard-ai-platform/skills.

• SKILL.md
• examples/sample_scenario.md
• references/cascading-activation.md
• references/frame-coding.md

Open the folder on GitHubat commit 4e7f4f8