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 agentmods add skills/tikhub/tikhub-plugin/competitor-analysisnpx skills add TikHub/tikhub-plugin --skill competitor-analysisgit clone --depth 1 https://github.com/TikHub/tikhub-pluginWrote 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/tikhub/tikhub-plugin/competitor-analysis)<a href="https://agentmods.dev/skills/tikhub/tikhub-plugin/competitor-analysis"><img src="https://agentmods.dev/badge/skills/tikhub/tikhub-plugin/competitor-analysis.svg" alt="Measured on agentmods" 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 | $0.00064 | $0.00380 |
| Opus 5 | $0.00032 | $0.00190 |
| Sonnet 5 | $0.00013 | $0.00076 |
| Haiku 4.5 | $0.00006 | $0.00038 |
Grade A, and why
competitor-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Competitor Analysis
Compare several accounts head-to-head. For a single account, use creator-analytics.
Setup gate
[ -z "${TIKHUB_API_KEY:-}" ] && echo "Set TIKHUB_API_KEY first (see tikhub-onboarding)."
Workflow
- Collect the account list (handles/URLs) and the platform(s).
- For each account, run the
creator-analyticsworkflow (resolve → profile → recent posts → metrics). Use the same post-count cap for every account so the comparison is fair. - Build a comparison table: followers, avg engagement, engagement rate, posts/week, top post, median views. One row per account.
- Rank and summarize: who leads on reach vs. engagement vs. consistency; notable content strategies; gaps/opportunities.
Cost awareness
Cost ≈ (1 profile + N post-pages) × number of accounts. Multiply it out and state the total before
running; cap pages and account count. Use calculate_price for an estimate.
Verification gate
- Every account resolved and has a non-empty post sample.
- Same sample size/time window across accounts (note any account with fewer posts).
- Rates within sane bounds.
Red flags
- Comparing accounts with wildly different sample sizes or date ranges — normalize first.
- Treating follower count alone as "winning" — lead with engagement rate.
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.
- 4d ago First seen · 41 lines · 64 tokens per session scan A 0ed6d6bd1515
competitor-analysis is a skill published in the GitHub repository TikHub/tikhub-plugin (6 stars, last pushed 2mo ago), licensed MIT. It adds 64 tokens to every session and 380 once invoked, about $0.0003 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 2026-08-31.
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