x-filter

x-filter is a skill for Claude Code, Codex from kangarooking/x-skills. It costs 59 tokens per session (2,144 once invoked), scanned A, original, Apache-2.0.

A workflow for scoring and filtering topics for X posts, where X is the social network formerly called Twitter. It rates topics on trend, debate value, usefulness, and fit with an account, then keeps topics scoring at least 7 out of 10.

In plain words
What is it for?
Use it to evaluate topics from another collection tool, URLs, lists, or raw text and decide which ones are ready for post creation.
Why use it?
It helps narrow a large set of collected or manually supplied topics into a smaller creation list. It can use an account profile and optional saved feedback about previously rejected topics.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths.

Good fit Use it to evaluate topics from another collection tool, URLs, lists, or raw text and decide which ones are ready for post creation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kangarooking/x-skills/x-filter
Install

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.

Any agent
npx skills add kangarooking/x-skills --skill x-filter
Clone the repo
git clone --depth 1 https://github.com/kangarooking/x-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for x-filter

README.md
[![agentmods](https://agentmods.dev/badge/skills/kangarooking/x-skills/x-filter.svg)](https://agentmods.dev/skills/kangarooking/x-skills/x-filter)
Your own site
<a href="https://agentmods.dev/skills/kangarooking/x-skills/x-filter"><img src="https://agentmods.dev/badge/skills/kangarooking/x-skills/x-filter.svg" alt="Measured on agentmods" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,144 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk warn 21 Feb 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00059 $0.02144
Opus 5 $0.00030 $0.01072
Sonnet 5 $0.00012 $0.00429
Haiku 4.5 $0.00006 $0.00214

Measured 8d ago against content hash c6afb9708fd7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

x-filter 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 8d 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.

x-filter/SKILL.md · 254 lines

How it starts

The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.

X Filter

Score and filter collected materials for X content creation. Topics scoring ≥7 points enter the creation pool.

Scoring System (满分10分)

Criteria Weight Description
热度/趋势 4分 Current popularity and trend momentum
争议性 2分 Discussion potential and debate value
高价值 3分 Information density and actionable insights
账号定位相关 1分 Alignment with account positioning

Threshold: ≥7分 enters creation pool

Prerequisites

  • Materials from x-collect (or manual input)
  • User profile from x-create/references/user-profile.md (for relevance scoring)

Optional State (Feedback Loop)

If available, use persisted state to improve filtering:

  • State dir: ~/.claude/skills/x-create/state/
  • Negative samples: rejected_topics.json (SimilarityFilter)
  • Events log: events.jsonl (optional analytics)

If state files don't exist, proceed normally.

Workflow

Input

Accept materials from:

  1. x-collect output - Structured material report
  2. Manual list - User-provided topics/URLs
  3. Raw text - Unstructured content to evaluate

Scoring Process

For each material/topic, score multiple dimensions and combine with weights.

Weighted score (recommended):

FinalScore = Σ(w_i × s_i) - NegPenalty

Where:

  • s_i are per-dimension scores (0..max)
  • w_i come from references/user-profile.md (fallback to defaults)
  • NegPenalty is derived from similarity to rejected topics and other negative signals

1. 热度/趋势 (Trending Score: 0-4)

4分: 当前热门话题,大量讨论
3分: 近期热点,关注度上升
2分: 稳定话题,持续有人讨论
1分: 小众话题,关注度有限
0分: 过时话题,几乎无人讨论

(Optional) 新鲜度 (Freshness)

  • If you can infer recency from sources, either:
    • fold it into Trending score, or
    • add a small bonus/penalty (e.g., +0.5 for <72h, -0.5 for >30d)

2. 争议性 (Controversy Score: 0-2)

2分: 明显争议,多方观点对立
1分: 存在不同看法,可引发讨论
0分: 共识性话题,难以引发讨论

3. 高价值 (Value Score: 0-3)

3分: 硬核干货,可直接指导行动
2分: 有价值信息,提供新视角
1分: 一般信息,了解即可
0分: 低价值,无实质内容

Read the full file on GitHub · 254 lines

Changes

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.

  1. 8d ago First seen · 254 lines · 59 tokens per session scan A c6afb9708fd7

Subscribe to this mod's changes

x-filter is a skill published in the GitHub repository kangarooking/x-skills (325 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 59 tokens to every session and 2,144 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens