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 matteotitta/genesys-skills --skill apollo-sequencesgit clone --depth 1 https://github.com/matteotitta/genesys-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/matteotitta/genesys-skills/apollo-sequences)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/apollo-sequences"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/apollo-sequences/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/matteotitta/genesys-skills/apollo-sequences"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/apollo-sequences.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 | $0.00025 | $0.01800 |
| Opus 5 | $0.00013 | $0.00900 |
| Sonnet 5 | $0.00005 | $0.00360 |
| Haiku 4.5 | $0.00003 | $0.00180 |
Grade A, and why
apollo-sequences 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 9d 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/apollo-sequences -- Manage Apollo email sequences
Search, audit, and manage Apollo email sequences. Add enriched contacts, remove contacts, check mailboxes, and review performance. All sequence management actions are free.
Imported via: /steal analysis of workflows.io Apollo x Claude Playbook (2026-04-08)
Doctrine inherited (Step 7 — 0626 rollout)
Output complies with:
output-tenets.md— the seven tenetsoutput-simplicity.md— length caps, three-layer source placement, robot-tells banoutbound-research-hygiene.md— dated signals, no stale references, no prior-job hooks- Step 6 calibration: see [[feedback_execution_doctrine_refinements_step6]]
Refinements applied to this skill:
| Code | Refinement | How it lands in apollo-sequences |
|---|---|---|
| R1 | Source placement (three layers) | The skill manages sequences (orchestration), not body copy. When it reports performance, summary lives in working-doc form for internal review — no end-customer-facing surface. |
| R3 | Product-update tone | When sequence-level reports surface "we shipped X" framing, it stays product-update, not "thrilled-to-announce." Carries forward into sequences generated downstream by /outreach-emails. |
| R6 | CTA hierarchy | Sequence design respects per-stage CTA hierarchy — cold sequences end with discovery-call/sign-up primary; warm follow-ups end with product-action. Surfaced when adding contacts to the right sequence type. |
| R9 | Action-oriented section names | "When to use / Pre-flight checks / Common operations" — verb-led. Preserve. |
When to use
- Quick pulse check on all active sequences and their performance
- Finding the right sequence for a specific prospect or ICP
- Adding an enriched contact to an existing sequence
- Removing a contact from a sequence (replied, unsubscribed, wrong fit)
- Auditing a sequence before adding new contacts (duplicate check)
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.
- 9d ago First seen · 191 lines · 115 tokens per session scan A a561f2af5093
apollo-sequences is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 1,800 once invoked, about $0.0001 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 2026-09-03.
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