Agent skill

Reddit Thread Fit Check

by unifapi-agent in unifapi-agent/agents

When the user wants to decide which Reddit threads are worth replying to, citing, monitoring, or avoiding based on relevance, subreddit rules, conversation intent, and outreach risk.

MITAuto-check passedMarketing & SEO

Install Reddit Thread Fit Check

skills CLI
$ npx skills add unifapi-agent/agents --skill reddit-thread-fit-check -a claude-code

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

GitHub CLI
$ gh skill install unifapi-agent/agents reddit-thread-fit-check --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/unifapi-agent/agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/social-listening-agent/reddit-thread-fit-check .claude/skills/reddit-thread-fit-check && 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
reddit-thread-fit-check
GitHub stars
589
Token cost
~1.6k tokens
SKILL.md length
612 words
Files
2
Skills in repo
47
Repo updated
First seen
Licence
MIT

At a glance

When the user wants to decide which Reddit threads are worth replying to, citing, monitoring, or avoiding based on relevance, subreddit rules, conversation intent, and outreach risk.

  • Works in 6 steps: Collect candidates. Accept thread… → Read the rules first. Pull the subreddit… → Read the thread and comments. Identify… → …
  • Wants to decide which Reddit threads are worth replying to
  • SKILL.md covers Use UnifAPI for live evidence, Workflow, Scoring rubric and Output, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Reddit Thread Fit Check is an agent skill from unifapi-agent/agents. When the user wants to decide which Reddit threads are worth replying to, citing, monitoring, or avoiding based on relevance, subreddit rules, conversation intent, and outreach risk. Also use on "Reddit thread fit," "is this Reddit thread safe to reply to," "find outreach-safe Reddit threads," "prioritize Reddit replies," "Reddit participation risk," or "which Reddit posts should we engage." For broader subreddit mapping, run reddit-community-research first.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).

It sits in Marketing & SEO, covering Social media marketing. It works with Reddit. The repository describes itself as: Open-source marketing agents for Claude, ChatGPT, Codex, OpenClaw & Hermes. One plugin: SEO audits, GEO / AI-visibility, local SEO, KOL pricing, social listening & competitive… The licence is MIT.

When your agent uses it

  • Wants to decide which Reddit threads are worth replying to
  • Avoiding based on relevance
  • Subreddit rules
  • Conversation intent

Example prompts

  • “Reddit thread fit,”
  • “is this Reddit thread safe to reply to,”
  • “find outreach-safe Reddit threads,”
  • “/reddit-thread-fit-check”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Collect candidates. Accept thread URLs/IDs from the user or from a prior Reddit research brief. If no candidates exist, ask for seed…
  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…
  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…
  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…

What it can do on your machine

Read from SKILL.md and the folder at commit fb53247. 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

Reddit Thread Fit Check loads about 1.6k tokens when it runs. Until then it costs about 122 tokens; SKILL.md has 612 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~122
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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 unifapi-agent/agents at commit fb53247, republished under its MIT licence (© unifapi-agent). 612 words, ~1,642 tokens.

Download SKILL.mdSave it as .claude/skills/reddit-thread-fit-check/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
reddit-thread-fit-check
description
When the user wants to decide which Reddit threads are worth replying to, citing, monitoring, or avoiding based on relevance, subreddit rules, conversation intent, and outreach risk. Also use on "Reddit thread fit," "is this Reddit thread safe to reply to," "find outreach-safe Reddit threads," "prioritize Reddit replies," "Reddit participation risk," or "which Reddit posts should we engage." For broader subreddit mapping, run reddit-community-research first.
license
MIT
metadata.author
UnifAPI
metadata.version
1.0.0

Reddit Thread Fit Check

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.
Show full SKILL.md (275 more words)Show less

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
text
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:

markdown
# 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).

© unifapi-agent, 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 1 other file in skills/social-listening-agent/reddit-thread-fit-check of unifapi-agent/agents.

  • SKILL.md
  • README.md

Open the folder on GitHubat commit fb53247

Compare with similar skills

Reddit Thread Fit Check 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.

Reddit Thread Fit Check compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Reddit Thread Fit Check this skillunifapi-agent/agents589—~1.6kAutomated safety check: PassMIT
Blog DiscourseAgriciDaniel/claude-blog2.3k1 repos~3.4kAutomated safety check: WarnMIT
Social Listening BriefScrapeCreators/social-media-research-skills3.4k—~646Automated safety check: NotesMIT
Reddit Competitor Analysis API Skillbrowser-act/skills6.1k1 repos~1.7kAutomated safety check: PassMIT
Community Seeding Planminhnv0807/ai-business-skills610—~3.2kAutomated safety check: PassMIT
Brand Monitoringsandbaseai/sandbase-skills202—~696Automated safety check: PassApache-2.0

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Works with

Categories

Questions about Reddit Thread Fit Check

What does Reddit Thread Fit Check do?

When the user wants to decide which Reddit threads are worth replying to, citing, monitoring, or avoiding based on relevance, subreddit rules, conversation intent, and outreach risk. Reddit Thread Fit Check is an agent skill from unifapi-agent/agents. When the user wants to decide which Reddit threads are worth replying to, citing, monitoring, or avoiding based on relevance, subreddit rules, conversation intent, and outreach risk.

When should I use Reddit Thread Fit Check?

Reddit Thread Fit Check fits situations like: wants to decide which Reddit threads are worth replying to; avoiding based on relevance; subreddit rules; conversation intent.

How do I install Reddit Thread Fit Check in Claude Code?

Run `npx skills add unifapi-agent/agents --skill reddit-thread-fit-check -a claude-code`. Or copy the skill folder (skills/social-listening-agent/reddit-thread-fit-check in unifapi-agent/agents) into .claude/skills/reddit-thread-fit-check in your project. Claude Code loads it when a task matches its description.

How do I install Reddit Thread Fit Check in Codex?

Run `npx skills add unifapi-agent/agents --skill reddit-thread-fit-check -a codex`. Or copy the skill folder (skills/social-listening-agent/reddit-thread-fit-check in unifapi-agent/agents) into .agents/skills/reddit-thread-fit-check in your project. Codex loads it when a task matches its description.

Can I use Reddit Thread Fit Check 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 unifapi-agent/agents --skill reddit-thread-fit-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reddit-thread-fit-check, .gemini/skills/reddit-thread-fit-check, .github/skills/reddit-thread-fit-check and .opencode/skills/reddit-thread-fit-check in your project.

What does Reddit Thread Fit Check need to run?

SKILL.md names no scripts, command-line tools or credentials: Reddit Thread Fit Check is instructions for the agent only.

Does Reddit Thread Fit Check 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 Reddit Thread Fit Check 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 Reddit Thread Fit Check use?

Reddit Thread Fit Check is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Reddit Thread Fit Check use?

About 1.6k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Reddit Thread Fit Check?

Skills that share tags, products or a category with Reddit Thread Fit Check: Blog Discourse (AgriciDaniel/claude-blog, 2.3k stars), Social Listening Brief (ScrapeCreators/social-media-research-skills, 3.4k stars), Reddit Competitor Analysis API Skill (browser-act/skills, 6.1k stars) and Community Seeding Plan (minhnv0807/ai-business-skills, 610 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Reddit Thread Fit Check?

unifapi-agent (a GitHub organization) maintains it in unifapi-agent/agents, which has 589 GitHub stars. The repository holds 47 skills in this directory. The repository was last updated on September 5, 2026.

Source: unifapi-agent/agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.