OPC Skills is a collection of reusable instruction folders, scripts, and resources that extend coding agents with specialized tasks for solopreneurs and one-person companies. Its skills cover areas such as search optimization, demand research, domain discovery, branding, social-media assets, and platform-specific research. The catalogue entries are the project's own skills, plugins, and hook.
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 ReScienceLab/opc-skills --skill twittergit clone --depth 1 https://github.com/ReScienceLab/opc-skillsWrote 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/resciencelab/opc-skills/twitter)<a href="https://agentmods.dev/skills/resciencelab/opc-skills/twitter"><img src="https://agentmods.dev/badge/skills/resciencelab/opc-skills/twitter/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/resciencelab/opc-skills/twitter"><img src="https://agentmods.dev/badge/skills/resciencelab/opc-skills/twitter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Data Exfiltration · line 96 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00042 | $0.00760 |
| Opus 5.5 | $0.00017 | $0.00304 |
| Sonnet 5.5 | $0.00008 | $0.00152 |
| Haiku 4.5 | $0.00004 | $0.00076 |
Grade A, and why
twitter 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- twitter — 92% identical, 10 lines differ
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Twitter/X Skill
Get user profiles, tweets, replies, followers/following, communities, spaces, and trends from Twitter/X via twitterapi.io.
Prerequisites
Set API key in ~/.zshrc:
export TWITTERAPI_API_KEY="your_api_key"
Quick Check:
cd <skill_directory>
python3 scripts/get_user_info.py elonmusk
Commands
All commands run from the skill directory.
User Endpoints
python3 scripts/get_user_info.py USERNAME
python3 scripts/get_user_about.py USERNAME
python3 scripts/batch_get_users.py USER_ID1,USER_ID2
python3 scripts/get_user_tweets.py USERNAME --limit 20
python3 scripts/get_user_mentions.py USERNAME --limit 20
python3 scripts/get_followers.py USERNAME --limit 100
python3 scripts/get_following.py USERNAME --limit 100
python3 scripts/get_verified_followers.py USERNAME --limit 20
python3 scripts/check_relationship.py USER1 USER2
python3 scripts/search_users.py "query" --limit 20
Tweet Endpoints
python3 scripts/get_tweet.py TWEET_ID [TWEET_ID2...]
python3 scripts/search_tweets.py "query" --type Latest --limit 20
python3 scripts/get_tweet_replies.py TWEET_ID --limit 20
python3 scripts/get_tweet_quotes.py TWEET_ID --limit 20
python3 scripts/get_tweet_retweeters.py TWEET_ID --limit 50
python3 scripts/get_tweet_thread.py TWEET_ID
python3 scripts/get_article.py TWEET_ID
List Endpoints
python3 scripts/get_list_followers.py LIST_ID --limit 20
python3 scripts/get_list_members.py LIST_ID --limit 20
Community Endpoints
python3 scripts/get_community.py COMMUNITY_ID
python3 scripts/get_community_members.py COMMUNITY_ID --limit 20
python3 scripts/get_community_moderators.py COMMUNITY_ID
python3 scripts/get_community_tweets.py COMMUNITY_ID --limit 20
python3 scripts/search_community_tweets.py "query" --limit 20
Other Endpoints
python3 scripts/get_space.py SPACE_ID
python3 scripts/get_trends.py --woeid 1 # Worldwide
Search Query Syntax
# Basic search
python3 scripts/search_tweets.py "AI agent"
# From specific user
python3 scripts/search_tweets.py "from:elonmusk"
# Date range
python3 scripts/search_tweets.py "AI since:2024-01-01 until:2024-12-31"
# Exclude retweets
python3 scripts/search_tweets.py "AI -filter:retweets"
# With media
python3 scripts/search_tweets.py "AI filter:media"
# Minimum engagement
python3 scripts/search_tweets.py "AI min_faves:1000"
What ships with it
29 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.
- .claude-plugin/plugin.json 547 B
- scripts/batch_get_users.py 632 B runs code
- scripts/check_relationship.py 856 B runs code
- scripts/credential.py 364 B runs code
- scripts/get_article.py 992 B runs code
- scripts/get_community_members.py 889 B runs code
- scripts/get_community_moderators.py 798 B runs code
- scripts/get_community_tweets.py 855 B runs code
- scripts/get_community.py 962 B runs code
- scripts/get_followers.py 958 B runs code
- scripts/get_following.py 960 B runs code
- scripts/get_list_followers.py 849 B runs code
- scripts/get_list_members.py 835 B runs code
- scripts/get_space.py 1.0 KB runs code
- scripts/get_trends.py 1.5 KB runs code
- scripts/get_tweet_quotes.py 843 B runs code
- scripts/get_tweet_replies.py 850 B runs code
- scripts/get_tweet_retweeters.py 877 B runs code
- scripts/get_tweet_thread.py 760 B runs code
- scripts/get_tweet.py 652 B runs code
- scripts/get_user_about.py 1.3 KB runs code
- scripts/get_user_info.py 541 B runs code
- scripts/get_user_mentions.py 855 B runs code
- scripts/get_user_tweets.py 1.0 KB runs code
- scripts/get_verified_followers.py 1.1 KB runs code
- scripts/search_community_tweets.py 882 B runs code
- scripts/search_tweets.py 1.0 KB runs code
- scripts/search_users.py 810 B runs code
- scripts/twitter_api.py 4.7 KB runs code
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.
- 1mo ago First seen · 100 lines · 42 tokens per session scan A aee0659da20b
twitter is a skill published in the GitHub repository ReScienceLab/opc-skills (1,864 stars, last pushed yesterday), licensed Apache-2.0. It adds 42 tokens to every session and 760 once invoked, about $0.0002 per session on Opus 5.5. 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
context-okf-llm-ingest
Use when extracting a codebase's implementation decisions with an LLM/agent into Open Knowledge Format (OKF) files, following the repository's configured PR or candidate review gate.
context-okf-promote-candidates
Use when promoting reviewed Metatron candidate decisions to canonical in a git/CI flow — moving Open Knowledge Format (OKF) files from candidate/ to decisions/. The agent performs only human-named moves; it never decides what to promote.
live-audit
Audit steam-games-mcp — build/test/lint gate, live MCP tool edge-case sweep (input validation, SteamID64/vanity/appid edge cases, key-gating), and source-level code review. Use when asked to test/audit the published or just-fixed steam-games-mcp package, hunt for bugs/edge cases, or repeat "the same kind of testing as…
prompt-check
Live-test every MCP Prompt in src/tools/prompts.ts through the real MCP protocol (not a static read) across every argument combination. Use when a prompt is added or its argument-handling logic changes, or as part of a live-audit pass.
tool-description-check
Self-check a new or edited MCP tool description/field .describe() text before committing — verify every behavioral claim against live testing or source, check for contradictions with sibling tools, and score against Glama's Tool Definition Quality Score (TDQS) rubric. Use whenever a tool description or schema field…
release
Cut a release of steam-games-mcp — draft CHANGELOG entries, check docs/metadata consistency, then bump/tag/push. Use when asked to release, cut a version, or publish a new version of this package.