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 manishiitg/coding-agent-loop --skill launch-to-qualified-pipelinegit clone --depth 1 https://github.com/manishiitg/coding-agent-loopWrote 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/manishiitg/coding-agent-loop/launch-to-qualified-pipeline)<a href="https://agentmods.dev/skills/manishiitg/coding-agent-loop/launch-to-qualified-pipeline"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/launch-to-qualified-pipeline/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/manishiitg/coding-agent-loop/launch-to-qualified-pipeline"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/launch-to-qualified-pipeline.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 | $0.00033 | $0.00773 |
| Opus 5.5 | $0.00013 | $0.00309 |
| Sonnet 5.5 | $0.00007 | $0.00155 |
| Haiku 4.5 | $0.00003 | $0.00077 |
Grade A, and why
launch-to-qualified-pipeline 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 20d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Launch to Qualified Pipeline
Outcome
Produce a sourced launch brief, reviewed channel action ledger, linked inbound signals, and a qualified pipeline decision backed by Sales records. Draft, approved, published, lead captured, qualified, contacted, and booked are distinct states.
When to use
Use when a B2B company wants one accountable route from a new offer and site to qualified enquiries. A simple strategy question can stay in one Crew. Use the existing Sales Playbook for its qualification, follow-up, and meeting subroute.
Discovery and user direction
Inspect current Crews, site and offer, customer evidence, approved claims, assets, channels, campaign IDs, form and CRM records, contact policy, budget, owners, and meeting source. Propose reuse or reviewed creation. Show the exact plan before Builder applies it; selection changes nothing.
Required inputs
Bind launch and offer version, audience and market, source-backed message, channel and budget bounds, visitor action, qualification and contact policy, attribution rule, baseline or baseline-first choice, and review owners. An export supports a manual first route.
Plan and AgentWorks tools
Reuse or propose GTM Strategy Analyst, Launch Coordinator, Lead Intake & Qualifier, and Sales Follow-up Coordinator. Add Website Growth Starter only for needed site work. Builder may use `create_crew` with stable keys. Strategy emits `gtm-launch-brief/v1`; validate it before Launch reads it. Launch emits `launch-signal-register/v1`; validate it and match an exact event/lead before Qualification. Then use Inbound Lead-to-Meeting Review and its validator for the qualification-to-follow-up route. Publishing, spend, and contact each require separate authorized action routes.
Knowledge and persistence
Save offer, launch, asset, campaign, source, event, lead, action, Crew, and run IDs; approvals; provider receipts; metric definitions; source times; and prior decisions. Re-read current states and deduplicate before every repeat.
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- examples/gtm-launch-brief.json 841 B
- examples/invalid-launch-signal-register.json 715 B
- examples/launch-signal-register.json 1.1 KB
- examples/lead-qualification-brief.json 1.4 KB
- playbook.json 5.5 KB
- references/team-and-handoffs.md 2.4 KB
- scripts/test_validate_handoff.py 3.2 KB runs code
- scripts/validate_handoff.py 7.6 KB runs code
- SETUP.json 3.3 KB
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.
- 20d ago First seen · 49 lines · 33 tokens per session scan A 174fb86f62df
launch-to-qualified-pipeline is a skill published in the GitHub repository manishiitg/coding-agent-loop (13 stars, last pushed 19d ago), licensed MIT. It adds 33 tokens to every session and 773 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-27.
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