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 Frontal-so/outbound-skills --skill competitor-signalsgit clone --depth 1 https://github.com/Frontal-so/outbound-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/frontal-so/outbound-skills/competitor-signals)<a href="https://agentmods.dev/skills/frontal-so/outbound-skills/competitor-signals"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/competitor-signals/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/frontal-so/outbound-skills/competitor-signals"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/competitor-signals.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 | $0.00082 | $0.01107 |
| Opus 5 | $0.00041 | $0.00553 |
| Sonnet 5 | $0.00016 | $0.00221 |
| Haiku 4.5 | $0.00008 | $0.00111 |
Grade A, and why
competitor-signals 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 11d 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Signals
Competitor signals come from Category III of the signal taxonomy (Based on Likely "In Market"). They reveal prospects actively evaluating alternatives, unhappy with current vendors, or engaging with competitor content. G2 comparison activity = 60 points (Tier 1).
Reference Files
- Read
{SKILL_BASE}/resources/signal-taxonomy.mdfor Category III: Competitors (triggers 8-16) - Read
{SKILL_BASE}/resources/examples/signal-campaigns/gtm-plays.mdfor Play 8 (Bad Reviews) and Play 11 (Inbound Followers)
9 Competitor Triggers (from Taxonomy)
- Churned customers (negative review) - Left competitor, left a bad review
- Churned customers (disintegration) - Integration broke, product sunset
- Current customers (website activity) - Competitor users visiting your site
- Current customers (integration use) - Using a tool that integrates with yours
- In-cycle customers - Actively evaluating competitors now
- Engaged with competitor content - Liking/commenting on competitor posts
- Followers of competitor page - Brand-aware of the category
- Mutual connections with competitor - Network proximity
- G2/Capterra comparison activity - Active vendor comparison
Scoring by Signal Type
| Competitor Signal | Points | SLA | Rationale |
|---|---|---|---|
| G2 comparison (your product vs competitor) | 60 | < 24h | Active vendor comparison |
| Churned competitor customer (bad review) | 50 | < 24h | Pain is documented and public |
| Competitor user visiting your website | 50 | < 1h | Cross-shopping actively |
| In-cycle evaluation | 45 | < 24h | Buying window open |
| Engaged with competitor LinkedIn content | 25 | < 72h | Category interest |
| Follower of competitor page | 15 | This week | Passive awareness |
Play: Bad Reviews Targeting (Play 8)
- Scrape G2/Capterra for negative reviews of competitors (identifiable reviewers)
- Match reviewers to LinkedIn profiles via Clay
- Reference their specific pain point from the review
- Offer an alternative comparison
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.
- 11d ago First seen · 96 lines · 82 tokens per session scan A 0ef8adfa0b1e
competitor-signals is a skill published in the GitHub repository Frontal-so/outbound-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 82 tokens to every session and 1,107 once invoked, about $0.0004 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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