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 FullEnrich/fullenrich-skills --skill full-sequencegit clone --depth 1 https://github.com/FullEnrich/fullenrich-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/fullenrich/fullenrich-skills/full-sequence)<a href="https://agentmods.dev/skills/fullenrich/fullenrich-skills/full-sequence"><img src="https://agentmods.dev/badge/skills/fullenrich/fullenrich-skills/full-sequence/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/fullenrich/fullenrich-skills/full-sequence"><img src="https://agentmods.dev/badge/skills/fullenrich/fullenrich-skills/full-sequence.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 | $0.00124 | $0.02957 |
| Opus 5 | $0.00062 | $0.01478 |
| Sonnet 5 | $0.00025 | $0.00591 |
| Haiku 4.5 | $0.00012 | $0.00296 |
Grade A, and why
full-sequence 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 10d 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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FULL SEQUENCE
Level: Advanced Estimated cost: 0 credits (assumes contacts are already enriched). Sequencer API calls depend on the tool's own limits.
Examples
- "Build me a 5-touch sequence for these 20 enriched contacts"
- "I have cold emails from earlier, now help me build the full sequence with follow-ups"
- "Design an outreach campaign: email first, then LinkedIn, then phone"
- "Create a sequence and push it to my sequencer"
Persona
You are a senior outbound strategist who has designed hundreds of multi-channel sequences that convert. You've optimized timing, messaging, and channel mix across thousands of campaigns. You know that:
- Sequences are architecture, not spam. Every touchpoint has a purpose. Touch 1 opens the door. Touch 2 adds value. Touch 3 shifts the angle. Touch 4 creates urgency. Touch 5 is the graceful exit. If a touchpoint doesn't advance the conversation, cut it.
- Timing is everything. Too fast = desperate. Too slow = forgotten. The gap between touches matters more than the message itself.
- Channel diversity wins. Email-only sequences plateau at touch 3. Adding LinkedIn or a phone call at the right moment breaks through the noise.
- The breakup email is your best friend. "I'll stop reaching out" converts more than any pitch because it triggers loss aversion.
- Personalization degrades over a sequence. Touch 1 must be hyper-personalized. Touch 4 can be more templated. Don't waste deep research on a touch 5 follow-up.
Best Practices (embedded expertise)
Sequence length
- Sweet spot: 4-6 touchpoints. Less than 3 = you gave up too early. More than 7 = you're annoying.
- Exception: Enterprise deals can justify 7-8 touches over 30+ days.
Timing between touches
- Touch 1 → Touch 2: 2-3 days (they saw your email, give them time to think)
- Touch 2 → Touch 3: 3-4 days (if no engagement, shift angle)
- Touch 3 → Touch 4: 4-5 days (longer gap, different channel)
- Touch 4 → Touch 5 (breakup): 5-7 days (create space before the exit)
- NEVER less than 2 days between touches. It feels desperate.
- NEVER more than 10 days between touches. They'll forget you.
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.
- 10d ago First seen · 210 lines · 124 tokens per session scan A d3732735a1ff
full-sequence is a skill published in the GitHub repository FullEnrich/fullenrich-skills (5 stars, last pushed 9d ago), licensed MIT. It adds 124 tokens to every session and 2,957 once invoked, about $0.0006 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.
Other skills, from other repositories
find-engineering-firm
Use whenever the user wants to find, shortlist, vet, or enrich US engineering firms — civil, structural, MEP, mechanical, electrical, geotechnical, transportation, environmental, and manufacturing. For real-world engineering (buildings, infrastructure, manufacturing) — NOT software engineering. Triggers on "find civil…
find-service-providers
Use whenever the user wants to find, shortlist, vet, enrich, or research US professional-services firms — law, marketing, consulting, accounting, IT services, architecture, engineering, HR, PR, design, and similar B2B service providers. Triggers on requests like "find me a PPC agency in California", "shortlist three…
find-ai-consultancy
Use whenever the user wants to find, shortlist, vet, or enrich US AI/ML/data consulting firms (consultancies) — AI/ML development, MLOps, generative AI / LLM apps (RAG, chatbots, agents), computer vision, NLP, recommendation systems, data engineering, BI/analytics. Triggers on "find an AI/ML consulting firm to build…
find-cpa-firm
Use whenever the user wants to find, shortlist, vet, or enrich US accounting and tax firms (CPA firms) — financial-statement audit, SOC 1/2 audit, corporate tax, bookkeeping for businesses, advisory/fractional CFO, M&A diligence, 409A valuations, R&D tax credits, IPO readiness, sales-and-use tax. Triggers on "find me…
find-cybersecurity-firm
Use whenever the user wants to find, shortlist, vet, or enrich US cybersecurity firms — pen-testing/red team, security audits, vCISO, SOC 2 readiness, incident response, managed SOC, IAM, cloud security, and AppSec. Triggers on "find me a pen-testing firm for our SOC 2 audit", "shortlist three vCISO services for our…
find-design-agency
Use whenever the user wants to find, shortlist, vet, or enrich US design and creative agencies — graphic design, UX/UI, product design, brand identity, packaging, illustration, motion design, and creative direction. Triggers on "find me a UX/UI design agency for our SaaS product", "shortlist three brand-identity…