Borrowing it
Nothing to install: this file belongs to Othmane-Khadri/YALC-the-GTM-operating-system. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Othmane-Khadri/YALC-the-GTM-operating-system/main/.claude/skills/build-routine/SKILL.mdgit clone --depth 1 https://github.com/Othmane-Khadri/YALC-the-GTM-operating-systemWrote 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/othmane-khadri/yalc-the-gtm-operating-system/build-routine)<a href="https://agentmods.dev/skills/othmane-khadri/yalc-the-gtm-operating-system/build-routine"><img src="https://agentmods.dev/badge/skills/othmane-khadri/yalc-the-gtm-operating-system/build-routine/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/othmane-khadri/yalc-the-gtm-operating-system/build-routine"><img src="https://agentmods.dev/badge/skills/othmane-khadri/yalc-the-gtm-operating-system/build-routine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 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 Privilege Escalation · line 133 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium MCP Rug Pull · line 35 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 99 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 105 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 134 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium Rogue Agent · line 125 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00133 | $0.01802 |
| Opus 5 | $0.00067 | $0.00901 |
| Sonnet 5 | $0.00027 | $0.00360 |
| Haiku 4.5 | $0.00013 | $0.00180 |
Grade A, and why
build-routine 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 12d 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build Routine
I'll propose a complete sales routine — frameworks, schedules, dashboard pin — based on your archetype, configured providers, and captured context. You approve, I install. Hybrid pattern: propose is pure (import-direct) so it's instant; install is side-effecting (shell-out).
When This Skill Applies
Use this skill when the user says:
- "build my sales routine"
- "show me what YALC would auto-configure"
- "propose a routine for me"
- "set up a sales routine"
- "auto-derive my routine"
NOT this skill (use setup instead):
- "set up YALC" / "/setup" — that's the full onboarding flow. This skill is the routine step inside it (or after it), not the whole onboarding.
NOT this skill (use launch-linkedin-campaign instead):
- "launch a campaign" — that's per-result-set outreach. This skill installs the framework that makes campaigns possible.
NOT this skill (use qualify-leads instead):
- "qualify these leads" — single pipeline run. This skill orchestrates the broader cadence.
What This Skill Does
- Propose (import-direct). Imports
generateRoutinefromsrc/lib/routine/generator.ts, gathers inputs (capabilities available, archetype, context, hypothesis-locked flag), and produces aRoutineobject with frameworks + schedules + dashboard pin + per-entry rationale. - Renders the proposal cleanly so you can audit each pick.
- Asks: install / show only / cancel.
- Install (shell-out). On "install", runs
npx tsx src/cli/index.ts routine:install --yes. Writes~/.gtm-os/routine.yamland pins the dashboard route in~/.gtm-os/config.yaml. - Renders install result + offers follow-ups.
What This Skill Does NOT
- Run any of the proposed frameworks. Install ≠ execute. Frameworks run on their declared schedule (or via
framework:run/trigger). - Send outreach. That's
launch-linkedin-campaign. - Invent new frameworks. The proposal is over the existing framework registry.
Pre-flight
test -f ~/.gtm-os/.in-flight-setup && echo "BLOCKED" || echo "OK"
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.
- 12d ago First seen · 165 lines · 133 tokens per session scan A e56551658fc2
build-routine is a skill published in the GitHub repository Othmane-Khadri/YALC-the-GTM-operating-system (301 stars, last pushed 22d ago), licensed MIT. It adds 133 tokens to every session and 1,802 once invoked, about $0.0007 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 2026-08-30.
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Use when a feature crosses repository boundaries and one side must hand work to the other - generates a self-contained frontend-to-backend brief or backend-to-frontend API contract.
kn-spec
Use when creating a specification document for a feature (SDD workflow).
kn-flow
Use when orchestrating a full Knowns spec or task wave through planning, implementation, review, integration, and verification, optionally using sub-agents when scopes are parallel-safe.
kn-debug
Use when debugging errors, test failures, build issues, or blocked tasks — structured triage to fix to learn.
kn-research
Use when you need to understand existing code, find patterns, search project knowledge, investigate current external facts, or explore a large codebase before implementation.