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.
npx skills add unifapi-agent/agents --skill reddit-thread-fit-checkgit clone --depth 1 https://github.com/unifapi-agent/agentsWrote 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.
[](https://agentmods.dev/skills/unifapi-agent/agents/reddit-thread-fit-check)<a href="https://agentmods.dev/skills/unifapi-agent/agents/reddit-thread-fit-check"><img src="https://agentmods.dev/badge/skills/unifapi-agent/agents/reddit-thread-fit-check.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00098 | $0.01362 |
| Opus 5 | $0.00049 | $0.00681 |
| Sonnet 5 | $0.00020 | $0.00272 |
| Haiku 4.5 | $0.00010 | $0.00136 |
Grade A, and why
reddit-thread-fit-check 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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}/commentsfor what people are actually asking, recommending, objecting to, or rejecting. - User credibility check -
reddit/users/{username}/commentswhen a recurring voice or original poster credibility affects the decision. - Candidate discovery limits -
reddit/trending-searchesandreddit/feed/popularcan widen the pool, but they do not make coverage exhaustive.
Keep source URLs, run dates, and billing metadata.
Workflow
- 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. - Read the rules first. Pull the subreddit profile and record the self-promotion/vendor rule verbatim before scoring the thread.
- Read the thread and comments. Identify what the poster wants: recommendation, troubleshooting, comparison, complaint, market research, or debate.
- Score fit and risk. Use the rubric below. A thread can be highly relevant and still be a
do not replyif the rules or tone make participation unsafe. - Choose the action. One of: Reply draft, Monitor only, Cite for research, Ask human/moderator, Avoid.
- 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.
What ships with it
1 file 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.
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.
- 7d ago First seen · 108 lines · 98 tokens per session scan A 28aeecc93a2a
reddit-thread-fit-check is a skill published in the GitHub repository unifapi-agent/agents (559 stars, last pushed 2d ago), licensed MIT. It adds 98 tokens to every session and 1,362 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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