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From media-diet
List generated AgenticHarness tools for all platforms with their input schemas and analysis prompts.
npx claudepluginhub nategarelik/claude-hackathon-team-52How this command is triggered — by the user, by Claude, or both
Slash command
/media-diet:mesh-toolsThe summary Claude sees in its command listing — used to decide when to auto-load this command
Activate the `socialmesh` skill. No argument required. ## What this does Reads every `data/harnesses/<platform>/latest.json` and prints the tool definitions — name, description, input schema, and the analysis prompt that embeds the profile context. ## Steps ### 1. Enumerate harnesses If no harnesses exist, tell the user to run `/mesh-scan <platform>` to generate them and stop. ### 2. For each harness, extract tools Read the `tools` array from each harness file. For each tool, extract: - `name` - `description` - `input_schema` (summarized, not the full JSON) - `analysis_prompt` (fir...
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Activate the socialmesh skill. No argument required.
Reads every data/harnesses/<platform>/latest.json and prints the tool definitions — name, description, input schema, and the analysis prompt that embeds the profile context.
find data/harnesses -name "latest.json" 2>/dev/null | sort
If no harnesses exist, tell the user to run /mesh-scan <platform> to generate them and stop.
Read the tools array from each harness file. For each tool, extract:
namedescriptioninput_schema (summarized, not the full JSON)analysis_prompt (first 200 characters with ellipsis if longer)Also read:
platformgenerated_atsource_profile_synthesized_atGroup by platform. For each platform:
Platform: instagram
Harness generated: <timestamp> (from profile: <timestamp>)
analyze_feed_bias
Analyzes the political and topical lean of the feed.
Inputs: none
Prompt: "Given this Instagram profile with lean_score=0.3 and dominant topics..."
identify_echo_chamber
Estimates the degree of feed homogeneity and echo risk.
Inputs: none
Prompt: "This feed has an echo_index of 0.71, driven by..."
recommend_doors
Suggests accounts that would introduce underrepresented viewpoints.
Inputs: { "count": number (default 3) }
Prompt: "The following topics are underrepresented in this feed..."
explain_top_authors
Explains which authors dominate the feed and why.
Inputs: { "limit": number (default 10) }
Prompt: "The top authors by feed weight are..."
summarize_topic_mix
Breaks down the topic distribution in the feed.
Inputs: none
Prompt: "Topic distribution for this feed: cooking 22%, travel 18%..."
After all platforms, print:
/mesh-scan <platform>