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 account-health-auditgit 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/account-health-audit)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/account-health-audit"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/account-health-audit/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/account-health-audit"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/account-health-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 53 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 90 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 106 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 123 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 138 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 158 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- medium Excessive Agency · line 177 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00136 | $0.02724 |
| Opus 5.5 | $0.00054 | $0.01090 |
| Sonnet 5.5 | $0.00027 | $0.00545 |
| Haiku 4.5 | $0.00014 | $0.00272 |
Grade A, and why
account-health-audit 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 1mo 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Account Health Audit
Template placeholders
Replace every {{...}} before enabling. See the setup checklist reference for the full setup list.
{{USAGE_DATA_SOURCE}}— Where your product's usage/engagement data lives (analytics, admin console){{CRM}}— Your CRM (e.g. HubSpot, Attio, Salesforce){{CALL_LIBRARY}}— Your call recording/transcript tool (e.g. Gong, Grain, Fireflies){{TIER_LABELS}}— Your lead-scoring tier names (default: Bronze / Silver / Gold / Diamond){{ALERT_DESTINATIONS}}— Where qualified-account alerts route (Slack channels, task queues, inboxes){{SCORING_WORKFLOW}}— The audited account's central lead scoring & qualification workflow (theirs, configured in your platform — not your own org's){{VOICE_GOVERNANCE}}— The single place where outreach voice, tone, and CTA rules are supposed to be defined{{STALE_DAYS}}— Days of zero activity before an automation counts as dead (default: 5){{LOOKBACK_DAYS}}— Window for usage/spend analysis (default: 30)
Overview
Run this on demand for any trial or customer account. It produces a signal-dense health check across five lanes — use-case fit, lead scoring, alerting, messaging, and user adoption — closing with a prognosis and concrete interventions. No filler. No guesses.
Step 1 — Gather data (all in parallel, before writing anything)
Pull the following before producing a single section:
- {{USAGE_DATA_SOURCE}}: Every configured automation/workflow for the account (name, enabled/disabled, created/updated dates, execution counts), connected sending accounts, connected integrations, registered users (name, email, last login), and usage/spend by feature for the past {{LOOKBACK_DAYS}} days.
- Account notes/memory: Stated goals, context, relationship history — whatever your team has recorded about why this account bought or trialed.
- {{CALL_LIBRARY}}: Search for call transcripts tied to the account's domain.
- {{CRM}}: Company activity feed — notes, calls, emails, deal stage history.
What ships with it
1 file 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.
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.
- 1mo ago First seen · 178 lines · 136 tokens per session scan A ea2f8d791e1c
account-health-audit is a skill published in the GitHub repository swan-gtm/gtm-skills (221 stars, last pushed 8d ago), licensed MIT. It adds 136 tokens to every session and 2,724 once invoked, about $0.0005 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 2026-09-03.
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