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 aAAaqwq/AGI-Super-Team --skill competitor-teardowngit clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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/aaaaqwq/agi-super-team/competitor-teardown)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/competitor-teardown"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/competitor-teardown/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/aaaaqwq/agi-super-team/competitor-teardown"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/competitor-teardown.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00094 | $0.02644 |
| Opus 5 | $0.00047 | $0.01322 |
| Sonnet 5 | $0.00019 | $0.00529 |
| Haiku 4.5 | $0.00009 | $0.00264 |
Grade C, and why
competitor-teardown scanned grade C with 2 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 6d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://cli.inference.sh | sh && infsh login Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://cli.inference.sh | sh && infsh login How it starts
The opening of the file, as written. The whole thing — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Teardown
Structured competitive analysis with research and screenshots via inference.sh CLI.
Quick Start
curl -fsSL https://cli.inference.sh | sh && infsh login
# Research competitor landscape
infsh app run tavily/search-assistant --input '{
"query": "top project management tools comparison 2024 market share"
}'
# Screenshot competitor's website
infsh app run infsh/agent-browser --input '{
"url": "https://competitor.com",
"action": "screenshot"
}'
Teardown Framework
The 7-Layer Analysis
| Layer | What to Analyze | Data Source |
|---|---|---|
| 1. Product | Features, UX, quality | Screenshots, free trial |
| 2. Pricing | Plans, pricing model, hidden costs | Pricing page, sales call |
| 3. Positioning | Messaging, tagline, ICP | Website, ads |
| 4. Traction | Users, revenue, growth | Web search, press, funding |
| 5. Reviews | Strengths, weaknesses from users | G2, Capterra, App Store |
| 6. Content | Blog, social, SEO strategy | Website, social profiles |
| 7. Team | Size, key hires, background | LinkedIn, About page |
Research Commands
Company Overview
# General intelligence
infsh app run tavily/search-assistant --input '{
"query": "CompetitorX company overview funding team size 2024"
}'
# Funding and financials
infsh app run exa/search --input '{
"query": "CompetitorX funding round series valuation investors"
}'
# Recent news
infsh app run tavily/search-assistant --input '{
"query": "CompetitorX latest news announcements 2024"
}'
Product Analysis
# Feature comparison
infsh app run exa/search --input '{
"query": "CompetitorX vs alternatives feature comparison review"
}'
# Pricing details
infsh app run tavily/extract --input '{
"urls": ["https://competitor.com/pricing"]
}'
# User reviews
infsh app run tavily/search-assistant --input '{
"query": "CompetitorX reviews G2 Capterra pros cons 2024"
}'
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.
- 6d ago First seen · 310 lines · 94 tokens per session scan C bddc7793217a
competitor-teardown is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed today), licensed MIT. It adds 94 tokens to every session and 2,644 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
Other skills, from other repositories
guidance
Add, edit, or audit guidance docs. Default writes guidance for Claude (.claude/guidance/, Markdown, moflo universal rules). -h writes for human readers (docs/, lighter ruleset). --html emits HTML with a minimal default stylesheet instead of Markdown. -a audits the .claude/guidance/ directory.
deslop
The optimization pass, defined - delete before you add, one smell class per pass, behaviour pinned by a test that ran BEFORE the edit. Lints a SKILL.md and prose by the same instinct. Use for the per-story optimization pass or when code has grown noisy without growing capable.
eldar
Consult the Eldar — audit a project's moflo + Claude Code setup for portable, high-leverage gaps and guide remediation. Default mode is read-only audit with severity-ranked findings; --fix presents an interactive triage menu and walks the user through each chosen fix (healer, missing CLAUDE.md, sparse guidance…
root-cause
Find the mechanism behind a failure instead of patching its symptom - reproduce first, one variable per experiment with the prediction written before the run, exit by naming the mechanism and pinning it with a failing test. Use for a bug, an unexplained red test, or a failure that will not reproduce.
memory-worktree
Verify, customize, or opt out of moflo's AUTOMATIC durable-learning sharing across git worktrees / Conductor workspaces on one machine. As of the worktree-auto-sharing change this is on by default — learnings converge across a repo's worktrees with no setup. Use when the user asks "is memory shared across my…
code-tour
Maintain docs/code-tour.md — the annotated guided reading of Aigon's core logic. Use when you have changed code the tour quotes, added a subsystem a new reader would need, or the user says "update the code tour", "the tour is stale", "add X to the code tour", or asks to review/refresh the code examples doc.