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 notforyou23/home23 --skill x-researchgit clone --depth 1 https://github.com/notforyou23/home23Wrote 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/notforyou23/home23/x-research)<a href="https://agentmods.dev/skills/notforyou23/home23/x-research"><img src="https://agentmods.dev/badge/skills/notforyou23/home23/x-research/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/notforyou23/home23/x-research"><img src="https://agentmods.dev/badge/skills/notforyou23/home23/x-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 122 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00036 | $0.01226 |
| Opus 5 | $0.00018 | $0.00613 |
| Sonnet 5 | $0.00007 | $0.00245 |
| Haiku 4.5 | $0.00004 | $0.00123 |
Grade A, and why
X Research 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 10d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X Research
Use this skill for read-only X/Twitter research. It is separate from x: use x for direct account operations like posting, replying, or checking the authenticated timeline.
For outreach workflows, this skill should find and qualify reply targets; it should not post. Produce a queue with candidate URL, why it fits, draft reply in the user's voice, include-link yes/no, priority, and posted/skipped/failed state. Then hand selected writes to the x skill.
For X API details and query/operator notes, read references/x-api.md only if needed.
When to use
Use x-research for:
- "what are people saying" questions
- live discourse around launches, products, APIs, libraries, companies, or cultural moments
- following a thread from a tweet URL into the full conversation
- checking recent posts from a specific account
- monitoring a short watchlist of relevant accounts
Actions
search
Search recent X posts with query shaping, recency filters, and optional markdown/json artifacts.
Input:
{
"query": "home23 OR agent runtime",
"quick": true,
"sort": "likes",
"limit": 10,
"saveMarkdown": true
}
thread
Fetch the conversation around a tweet URL or tweet ID.
Input:
{
"url": "https://x.com/user/status/123",
"pages": 2
}
profile
Read recent posts from one account.
Input:
{
"username": "frankdegods",
"count": 10
}
tweet
Read one tweet by URL or ID.
watchlist_show / watchlist_add / watchlist_remove / watchlist_check
Manage and inspect the local X research watchlist.
cache_clear
Clear cached X research results.
Workflow
- Break the question into 1-3 targeted queries, not one vague broad query.
- Start with
quickor one page unless there is a clear reason to go deeper. - Follow high-signal tweets with
threadorprofile. - Save markdown when the result should feed a synthesis or handoff.
- Pair with
source-validationbefore promoting social chatter into factual claims.
What ships with it
3 files 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.
- 10d ago First seen · 157 lines · 36 tokens per session scan A 92aaacec8447
X Research is a skill published in the GitHub repository notforyou23/home23 (11 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 1,226 once invoked, about $0.0002 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.
Other skills, from other repositories
x-research
Read X (Twitter) via xurl — search posts, fetch threads, read profiles, and read long-form articles.
codex-interactive-capability-map
Turn a long-form article, thread, memo, or product narrative into a compact clickable capability map with a workflow loop, use-case matrix, and responsive detail panel.
social-carousel
A three-card social media carousel where one headline continues across three square images. The cards can include a brand mark, numbering, a visual focus, and a call to action.
a0-create-agent
Create a new Agent Zero agent profile (subordinate). Covers where profiles live (user / plugin-distributed / project-scoped), the agent.yaml schema, the prompt inheritance & override model, and optional profile-specific tools and extensions. Use for any "create/add/new agent profile" request.
hermes-context-optimization
Use this when the user asks about Hermes prompt/context size, “hello” startup cost, compression behavior, memory/profile bloat, tool-schema overhead, skill loading, session-store/search-index storage, or multimodal/visual-context approaches such as Snapcompact.
content-style
Writing Reddit-native content that sounds human, avoids AI tells, and delivers value through structure and specificity. Applies to workshop posts, definitive model guides, research megathreads, and community FYI/update posts.