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 Lifecycle-Innovations-Limited/claude-ops --skill ops-gtmgit clone --depth 1 https://github.com/Lifecycle-Innovations-Limited/claude-opsWrote 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/lifecycle-innovations-limited/claude-ops/ops-gtm)<a href="https://agentmods.dev/skills/lifecycle-innovations-limited/claude-ops/ops-gtm"><img src="https://agentmods.dev/badge/skills/lifecycle-innovations-limited/claude-ops/ops-gtm/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/lifecycle-innovations-limited/claude-ops/ops-gtm"><img src="https://agentmods.dev/badge/skills/lifecycle-innovations-limited/claude-ops/ops-gtm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Prompt Injection · line 71 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00031 | $0.03762 |
| Opus 5 | $0.00015 | $0.01881 |
| Sonnet 5 | $0.00006 | $0.00752 |
| Haiku 4.5 | $0.00003 | $0.00376 |
Grade A, and why
ops-gtm scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`/gtm` deliberately does NOT re-implement channel APIs. Credential resolution, curl calls, daemon data, and dashboards all live in `/marketing`. This skill is a strategy-and-handoff layer. If a capability belongs to a ch How it starts
The opening of the file, as written. The whole thing — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OPS ► GTM COMMAND CENTER
Load ops-rules before acting. Public repo (no personal data). Outbound: one draft → one approval → one send. If AskUserQuestion / Workflow are missing, follow Rule 10 in ops-rules (Hermes: numbered options / two-turn Telegram card; delegate_task).
Strategy layer that sits on top of /marketing. /marketing runs campaigns; /gtm decides what to run, across paid, unpaid, sales, and AI-automation channels, and then hands the executable pieces to /marketing via the Skill tool.
Runtime Context
Before executing, load available context:
-
Preferences: Read
${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.jsontimezone— timestamp all output correctlygtm_default_project,gtm_default_audience,gtm_brand_voice— project-level defaults when setgtm_monthly_budget,gtm_stage(pre-launch|beta|ga|scale) — used to tune channel recommendations
-
Cached plans: List
${CLAUDE_PLUGIN_DATA_DIR}/gtm/*.mdto surface recent plans. Never overwrite a prior plan file — always append a new dated file. -
Daemon health: Read
${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json. Ifaction_neededis not null, surface it before running any long planning flow. -
Repo auto-scan (background): For the current working directory, in parallel and with
run_in_background: true:git remote -v→ infer project slug and orgcat README.md(orREADME.*) → product description, ICP hints- Glob
package.json,pyproject.toml,Cargo.toml,go.mod→ tech stack - Glob
.planning/**/*.mdanddocs/**/*.md→ prior briefs, positioning notes - Resolve: project name, one-line pitch, primary tech, existing channels hinted in the repo
-
/marketingcredential probe (read-only): Do NOT re-resolve API keys in this skill. Instead, when the user asks to launch something, delegate to/marketingvia the Skill tool —/marketingowns the credential resolution chain (userConfig → env vars → Doppler → Dashlane → Keychain → gcloud ADC).
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.
- 11d ago First seen · 306 lines · 31 tokens per session scan A 4ec69e208a5d
ops-gtm is a skill published in the GitHub repository Lifecycle-Innovations-Limited/claude-ops (187 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 3,762 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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