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Enhanced · live dataSocial Listening Agent

Reddit Thread Fit Check

Evaluate candidate Reddit threads for whether a brand, founder, or operator should reply, cite, monitor, ask a human, or avoid. It reads subreddit rules and comment context first, then returns an outreach-safety decision and answer-first reply angle only when participation is appropriate.

Agent-native

Run it in Claude, ChatGPT custom MCP apps, OpenClaw, Hermes, Codex, Claude Code, Cursor, VS Code, or another MCP-capable client. No dedicated GUI flow and no separate LLM API key.

Backed by live public data

Every step is grounded in live public-data records UnifAPI returns, so the output cites what is actually ranking, posting, or being said — not a generic best-practice list.

Composable & open source

Skills cross-reference each other and live in a public, MIT-style repo. Read the full SKILL.md on GitHub, fork it, or run it as-is inside your agent.

Run prompt

Paste this into Codex or Claude Code

The prompt is intentionally editable. Replace the handles, market, budget, and campaign goal, then let the agent call UnifAPI MCP when it needs live public data.

Check these Reddit thread URLs for whether we should reply, monitor, cite, or avoid. Read each subreddit's rules and comments, score fit and account risk, and only draft a reply angle for safe threads.
How the skill works

The full skill, rendered from its SKILL.md

Score candidate Reddit threads for whether a brand, founder, or operator should reply, cite, monitor, or avoid. The output is a decision brief, not an automated comment. A good result protects account trust and community norms as much as it finds opportunity.

This is an enhanced skill: it reads public Reddit data through UnifAPI. It never posts, comments, votes, DMs, or recommends undisclosed promotion.

Use UnifAPI for live evidence

Start from candidate threads found by reddit-community-research, social-listening-brief, or the operator. Because the current Reddit surface has no keyword search and no per-subreddit post feed, be explicit about how candidates were sourced.

  • Subreddit profile and rules - reddit/subreddits/{name} for subscribers, activity, tone, and the verbatim self-promotion/vendor rules.
  • Thread context - reddit/posts/{id} for title, body, age, score, comment count, and URL.
  • Comment tree - reddit/posts/{id}/comments for what people are actually asking, recommending, objecting to, or rejecting.
  • User credibility check - reddit/users/{username}/comments when a recurring voice or original poster credibility affects the decision.
  • Candidate discovery limits - reddit/trending-searches and reddit/feed/popular can widen the pool, but they do not make coverage exhaustive.

Keep source URLs, run dates, and billing metadata.

Workflow

  1. Collect candidates. Accept thread URLs/IDs from the user or from a prior Reddit research brief. If no candidates exist, ask for seed subreddits or run the bounded discovery path from reddit-community-research.
  2. Read the rules first. Pull the subreddit profile and record the self-promotion/vendor rule verbatim before scoring the thread.
  3. Read the thread and comments. Identify what the poster wants: recommendation, troubleshooting, comparison, complaint, market research, or debate.
  4. Score fit and risk. Use the rubric below. A thread can be highly relevant and still be a do not reply if the rules or tone make participation unsafe.
  5. Choose the action. One of: Reply draft, Monitor only, Cite for research, Ask human/moderator, Avoid.
  6. Write a reply angle only when safe. If the action is Reply draft, provide an answer-first angle and required disclosure. Do not write promotional copy unless the user explicitly asks after seeing the risk.

Scoring rubric

Score each axis 1-5:

Axis135
RelevanceTangentialAdjacent problemDirectly asks about the exact problem/category
Intent fitGeneral debateMixed question/discussionClear ask for help, recommendation, or explanation
TimingOld or closedSlowing downFresh and active
Community safetyRules forbid vendor/self-promoAllowed only with careHelpful disclosed participation is accepted
Account-riskLikely to be filtered or downvotedSome skepticismLow risk if useful and disclosed
Opportunity = Relevance * 0.35 + IntentFit * 0.25 + Timing * 0.15 + CommunitySafety * 0.15 + AccountRisk * 0.10

Decision gates override the score:

  • Avoid if rules forbid vendor participation, the thread is hostile to promotion, or the reply would require pretending to be a user.
  • Monitor only if the thread is relevant but the conversation is emotional, political, or already resolved.
  • Ask human/moderator if rules are ambiguous and the upside is high.
  • Reply draft only when the ask is clear, the rule allows it, and the reply can be useful without pitching.

Output

Return a thread-fit table plus only the safe next actions:

# Reddit Thread Fit Check - {topic} ({YYYY-MM-DD})

## Recommendation

- Best thread to reply to: ...
- Threads to avoid: ...
- Main risk: ...

| Thread                  | Subreddit | Fit | Action      | Rule evidence                          | Why                                                 |
| ----------------------- | --------- | --- | ----------- | -------------------------------------- | --------------------------------------------------- |
| "Which tool handles X?" | r/example | 4.2 | Reply draft | Rule 3 allows disclosed vendor replies | Direct recommendation request, fresh, low hostility |

## Reply-Angle Briefs

### Thread: {title}

- Answer-first angle: ...
- Disclosure needed: ...
- What not to say: ...
- Evidence to cite: ...

## Coverage

- Candidate source: user-provided | prior brief | bounded discovery
- Subreddits checked: ...
- Reddit coverage limits: no keyword search; not an exhaustive sweep
- UnifAPI cost: ...

Guardrails

  • Never post, vote, DM, or automate Reddit participation.
  • Never recommend undisclosed self-promotion, fake user stories, vote manipulation, or coordinated replies.
  • Respect subreddit rules even when the thread is commercially attractive.
  • Do not treat high upvotes as permission to enter. Rule fit and tone matter first.
  • Keep the reply angle answer-first: solve the user's problem, disclose affiliation if relevant, and avoid links unless genuinely necessary.
  • reddit-community-research: discover and map the communities and candidate threads this skill scores.
  • social-listening-brief: surface a Reddit thread as part of broader launch or brand monitoring.
  • customer-research: turn threads that are not safe to reply to into voice-of-customer insight.
  • unifapi: the shared data skill (connect MCP, discover the Reddit operations this skill reads).

Source: reddit-thread-fit-check/SKILL.md on GitHub — open a PR there to improve it.

Public-data tools

The live APIs this skill calls

Every operation the skill names is one of these UnifAPI platforms — still visible and callable for product code, debugging, and custom agent flows.

  • Thread-fit table with action: reply draft, monitor, cite, ask human, or avoid
  • Verbatim subreddit-rule evidence for every engagement decision
  • Risk notes for self-promotion, tone, timing, and likely filtering/downvotes
  • Answer-first reply angle only for threads that pass the safety gates
Related skills

More skills in the Social Listening Agent

Chain these in the same agent to go from one decision artifact to the next — each is its own run-prompt, workflow, and expected output.

Reddit research

Map subreddits, recurring questions, objections, and language for a niche.

Open skill

Social listening

Track public mentions and return a concise brief instead of a dashboard.

Open skill

Customer research

Mine authentic customer language, pains, and objections from public communities to inform messaging and content.

Open skill
See every skill in the Social Listening Agent
FAQ

Questions about Thread fit check

Pricing, workflow boundaries, public-data scope, and why this works better as an agent Skill.