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 swan-gtm/gtm-skills --skill bridgebound-firmographic-15git clone --depth 1 https://github.com/swan-gtm/gtm-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/swan-gtm/gtm-skills/bridgebound-firmographic-15)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/bridgebound-firmographic-15"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/bridgebound-firmographic-15/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/swan-gtm/gtm-skills/bridgebound-firmographic-15"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/bridgebound-firmographic-15.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00057 | $0.00682 |
| Opus 5 | $0.00028 | $0.00341 |
| Sonnet 5 | $0.00011 | $0.00136 |
| Haiku 4.5 | $0.00006 | $0.00068 |
Grade A, and why
bridgebound-firmographic-15 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 12d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BRIDGEBOUND Category V: Based on "Firmographic" (15 Triggers)
Financial Events (3 Triggers)
- Companies that Went Public (IPO) - Post-IPO needs
- Companies that Raised Funding - New budget available
- Companies that Released Financial Reports - Public financials
M&A Activity (3 Triggers)
- Companies that Acquired Another Company - Acquirer needs
- Companies that Were Acquired - Integration needs
- Companies that Merged with Another Company - Merger consolidation
Growth Signals (4 Triggers)
- Companies that are Growing (Hypergrowth) - Scale pain
- Companies that Started Hiring - Ramp pressure
- Companies that Moved Headquarters - Relocation needs
- Companies that Opened New Locations - Expansion needs
Product & Marketing (5 Triggers)
- Companies that Released a New Product - Launch support
- Companies that Released a New Feature - Feature expansion
- Companies that Released a New Integration - Tech stack changes
- Companies that Made an Impactful Marketing Move - Marketing momentum
- Companies Whose Competitor Made an Impactful Move - Competitive response
Funding Announcement Template
Subject: congrats on the raise
{{firstName}}, saw {{company}} just raised {{amount}}.
Most companies at this stage start scaling {{function}}.
We helped {{similar_company}} do exactly that after their Series {{X}}.
Worth a quick chat about what worked?
Timing by Trigger
| Trigger | Optimal Timing |
|---|---|
| Funding | 2-4 weeks after announcement |
| IPO | 30-60 days post-IPO |
| Acquisition | 60-90 days post-close |
| New product launch | 1-2 weeks after |
| Hypergrowth | Ongoing monitoring |
| Hiring spike | Within 2 weeks of pattern |
Combines with
| Skill | Why |
|---|---|
buying-signals-6 |
Expansion signal (#5) |
clay-buying-signals-5 |
Funding & hiring detection |
cold-email-templates-34 |
Templates #20, #22 |
gtm-plays-11 |
Play #1 (New Team Members) |
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.
- 12d ago First seen · 101 lines · 57 tokens per session scan A 1bcf04749411
bridgebound-firmographic-15 is a skill published in the GitHub repository swan-gtm/gtm-skills (150 stars, last pushed 2d ago), licensed MIT. It adds 57 tokens to every session and 682 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 2026-08-30.
Other skills, from other repositories
signals-hooks
Comprehensive reactive state hooks for integration with flutterhooks.
signals-dart
Advanced reactive state primitives, collections, mixins, and utilities of signalscore.
signals-flutter
Highly optimized Flutter UI bindings and GPU rendering for reactive signals.
signals-migration-6-to-7
Detailed guidelines, patterns, and rules for migrating codebases from signals.dart version 6.x to version 7.x.
signals-preact-dart
Core reactive programming best practices and primitive definitions for preactsignals in Dart.
signals-lint
Standardized compiler diagnostics, static analysis lints, and automated IDE quick-fixes.