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 trial-account-to-reviewed-sales-assistgit 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/trial-account-to-reviewed-sales-assist)<a href="https://agentmods.dev/skills/manishiitg/coding-agent-loop/trial-account-to-reviewed-sales-assist"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/trial-account-to-reviewed-sales-assist/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/trial-account-to-reviewed-sales-assist"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/trial-account-to-reviewed-sales-assist.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 | $0.00027 | $0.00741 |
| Opus 5.5 | $0.00011 | $0.00296 |
| Sonnet 5.5 | $0.00005 | $0.00148 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
trial-account-to-reviewed-sales-assist 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trial Account to Reviewed Sales Assist
Outcome
Turn one authorized B2B SaaS trial into a sourced product-use observation, then an owner-reviewed Sales draft, no-contact decision or unresolved review. Product use is neither purchase intent nor contact permission.
When to use
Use when a company has trial/subscription and product-event records plus an accountable seller. Start with one manual trial. Inbound enquiry qualification and cohort funnel analysis use separate Playbooks.
Discovery and user direction
Inspect existing Product Adoption Analyst and Sales Follow-up Coordinator Crews, exact trial and event sources, CRM account mapping, recipient permission, suppression, previous replies and meetings. Propose Crew reuse or reviewed creation; show the route before Builder applies it. Selection leaves setup pending.
Required inputs
Bind entity, product, tenant, product account, trial/subscription and status revision; use rule, window, event coverage and cutoff; exact CRM account mapping, seller, permitted recipient and channel; fit, consent, suppression, prior-contact and offer policy. Identify sources for any later provider delivery or meeting claim.
Plan and AgentWorks tools
Product Adoption Analyst emits trial-usage-observation/v1 as JSON. Set its Crew step's exact context_output and validation_schema, then run the bundled business validator as a blocking step before Sales consumes it. Sales re-reads trial and CRM state and emits trial-sales-assist/v1: draft, no_contact or needs_review. A draft remains unsent. Any send is a separate, exact-message approved route; booking or paid conversion requires later source observation.
Knowledge and persistence
Save trial/status and event-rule revisions, source IDs, account mapping, CRM contact and policy revision, prior-contact check, decision, message fingerprint, owner approval, provider receipt and next review. On repeat, re-read trial conversion, contact suppression, reply and meeting state before suggesting another touch.
What ships with it
11 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/invalid-trial-sales-draft.json 1.5 KB
- examples/invalid-trial-usage-inactive.json 807 B
- examples/trial-sales-draft.json 1.5 KB
- examples/trial-sales-needs-review.json 1.2 KB
- examples/trial-usage-observed.json 1.0 KB
- examples/trial-usage-unknown.json 802 B
- playbook.json 4.9 KB
- references/team-and-handoffs.md 2.6 KB
- scripts/test_validate_handoff.py 3.0 KB runs code
- scripts/validate_handoff.py 8.5 KB runs code
- SETUP.json 3.5 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 · 48 lines · 27 tokens per session scan A ad482208c782
trial-account-to-reviewed-sales-assist is a skill published in the GitHub repository manishiitg/coding-agent-loop (13 stars, last pushed 19d ago), licensed MIT. It adds 27 tokens to every session and 741 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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