twitter-automation
Verdict safe, but 1 finding (1 info), mainly policy violation. Most recent scan 2026-10-22.
Byte-identical copies of this skill are also published by magentosh, qu-skills. Same SKILL.md, same files; each copy is scanned separately so divergence shows up here.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Automate Twitter/X with posting, engagement, and user management via inference.sh CLI. Apps: x/post-tweet, x/post-create (with media), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Capabilities: post tweets, schedule content, like posts, retweet, send DMs, follow users, get profiles. Use for: social media automation, content scheduling, engagement bots, audience growth, X API. Triggers: twitter api, x api, tweet automation, post to twitter, twitter bot, social media automation, x automation, tweet scheduler, twitter integration, post tweet, twitter post, x post, send tweet
- Package
- 1 file, 4.1 KB
- SKILL.md
- 471 words, 12+ sections
- Code
- None. Instructions only.
- Allowed tools
Bash(belt*)
SKILL.md covers: Twitter/X Automation · Quick Start · Post a tweet · Available Apps · Examples · Post a Tweet · Post with Media · Edit input.json: · { · "text": "Check out this AI-generated image!", · "media_url": "https://your-image-url.jpg" · }
Findings
INFO Skill does not specify a license Policy Violationstatic
Skill manifest does not include a 'license' field. Specifying a license helps users understand usage terms.
SKILL.md
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 4.1 KB |
External hosts referenced
inference.sh cloud.inference.sh raw.githubusercontent.com your-image-url.jpg
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Package contents recorded 2026-10-22 at commit becc25649700. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/101-skills/superpowers
- Raw scan result: 101-skills-superpowers-tools-social-twitter-automation-scan.json
- Badge for your README:
- Request a re-scan