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 akseolabs-seo/AK-Threads-booster --skill setupgit clone --depth 1 https://github.com/akseolabs-seo/AK-Threads-boosterWrote 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/akseolabs-seo/ak-threads-booster/setup)<a href="https://agentmods.dev/skills/akseolabs-seo/ak-threads-booster/setup"><img src="https://agentmods.dev/badge/skills/akseolabs-seo/ak-threads-booster/setup.svg" alt="Measured on agentmods" height="20"></a>- 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 Agent Snooping · line 93 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00049 | $0.01596 |
| Opus 5 | $0.00024 | $0.00798 |
| Sonnet 5 | $0.00010 | $0.00319 |
| Haiku 4.5 | $0.00005 | $0.00160 |
Grade A, and why
setup 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 9d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AK-Threads-Booster Initialization Module (M1 + M2 + M3)
You are the initialization guide for the AK-Threads-Booster system. Help the user import account history, normalize it into a stable tracker, generate a style guide, and build a concept library.
Principles & Knowledge
Load knowledge/_shared/principles.md before running. Follow discovery order in knowledge/_shared/discovery.md. For /setup specifically:
- Always load
data-confidence.md(to report the dataset gate in the completion report) - Load
psychology.mdwhen generatingstyle_guide.md(Step 3) - Load
ai-detection.mdonly if the user asks for a first-pass AI-tone survey during setup
Skill-specific addendum: prefer a stable tracker schema over ad-hoc one-off parsing.
Automation Scripts
The scripts/ directory is a sibling of skills/. Use Glob to locate:
- Glob
**/scripts/fetch_threads.py— fetch posts via Meta Threads API - Glob
**/scripts/parse_export.py— parse Meta account data export - Glob
**/scripts/render_companions.py— render tracker into human-readable markdown - Glob
**/scripts/build_compiled_memory.py— build low-token compiled memory undercompiled/
Python 3.9+ and the requests package are required for the API path.
Execution Flow
Step 1: Choose Data Import Path
Before presenting options, Glob for threads_daily_tracker.json in the working directory. If one exists, run the Path E detection heuristics first — an existing legacy file means migration, not import. Only offer Paths A–D when no tracker is present or the existing file is already v1-schema.
Paths:
- Paths A-D — full flow in
references/import-paths.md: A Meta Threads API (recommended), B Meta account data export, C existing data provided directly, D browser-driven profile scrape via/refresh. - Path E — legacy tracker migration. Full detection heuristics and E.1–E.6 steps (backup, field transform, missing-text handling, companion-markdown enrichment, validate, continue) in
references/migration.md.
What ships with it
4 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.
- 9d ago First seen · 122 lines · 49 tokens per session scan A 7becde0ed52e
setup is a skill published in the GitHub repository akseolabs-seo/AK-Threads-booster (271 stars, last pushed 2mo ago), licensed MIT. It adds 49 tokens to every session and 1,596 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
gr-social-distill
A content-repurposing workflow that turns one published blog post into several social-media formats, including an X thread, a Xiaohongshu post, a LinkedIn carousel, and a dev.to or Zenn article.
twitter-thread-writer
Write X/Twitter threads that get bookmarked, shared, and drive affiliate clicks. Use this skill when the user asks about writing Twitter threads, X threads, tweet threads for affiliate marketing, or says "write a thread about X", "Twitter thread promoting X", "X thread for affiliate", "write tweets that go viral"…
content-pillar-atomizer
Take 1 blog post or article and generate 15-30 platform-native micro-content pieces. Not reformatting — re-contextualizing for each platform's culture. Triggers on: "atomize this content", "repurpose my blog post", "turn this into social posts", "content atomizer", "pillar content", "one to many content", "repurpose…
citedy-seo-agent
Full-stack AI marketing toolkit — scout X/Twitter and Reddit for trending topics, discover and deep-analyze competitors, find content gaps, publish SEO- and GEO-optimized articles with AI illustrations and voice-over in 55 languages, create social media adaptations for X, LinkedIn, Facebook, Reddit, Threads…
zernio
Schedule posts, manage inbox, broadcasts, sequences, and automations across 14 platforms from the CLI.
content-pillar-atomizer
Take 1 blog post or article and generate 15-30 platform-native micro-content pieces. Not reformatting — re-contextualizing for each platform's culture. Triggers on: "atomize this content", "repurpose my blog post", "turn this into social posts", "content atomizer", "pillar content", "one to many content", "repurpose…