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/campaign-strategy/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/campaign-strategy)<a href="https://agentmods.dev/skills/othmane-khadri/yalc-the-gtm-operating-system/campaign-strategy"><img src="https://agentmods.dev/badge/skills/othmane-khadri/yalc-the-gtm-operating-system/campaign-strategy/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/campaign-strategy"><img src="https://agentmods.dev/badge/skills/othmane-khadri/yalc-the-gtm-operating-system/campaign-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 findings, 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 Rogue Agent · line 23 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.
- medium MCP Rug Pull · line 45 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 55 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 130 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 Excessive Agency · line 168 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 | $0.00154 | $0.02712 |
| Opus 5 | $0.00077 | $0.01356 |
| Sonnet 5 | $0.00031 | $0.00542 |
| Haiku 4.5 | $0.00015 | $0.00271 |
Grade A, and why
campaign-strategy 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Campaign Strategy (pre-flight)
The forward-looking sibling of improve-campaign. Where improve-campaign asks "what should we change after this campaign?", strategy asks "what should we do for the next campaign, given everything we know?"
Goal (per David's standing direction): "Improve our campaigns constantly. The goal is not execution and completion — it's performance and results." The skill exists at the moment a new campaign is being built, because that is when analysis is most useful.
Key idea: the reasoning happens in chat — not via a duplicate API call. The CLI helpers load the raw data and persist the output; the strategic thinking happens between them.
When this skill applies
- "I want to launch a campaign for X" / "how should we approach this campaign"
- "What should the next campaign test?"
- "Campaign manager" — when invoked while building (not after) a campaign
- "What did we learn from previous campaigns that's worth testing next?"
Not this skill:
- "Retro on the last campaign" / "what didn't work" →
improve-campaign - "Draft / rewrite the outbound copy" →
refine-outbound-copy - "Create the campaign now in the DB" →
campaign:create-sequence
Inputs
Just one: concept — a short description of the campaign the user wants to launch. e.g. "Reddit GEO Specialists hire", "datascalehr CHRO Tier-1 follow-up". Don't ask anything else up front.
Procedure
Step 0 — Guard
test ! -e ~/.gtm-os/.in-flight-setup
If the file exists, stop and tell the user setup is in progress.
Step 1 — Auto-sync HeyReach (proactive — do not ask)
Per David's standing rule: if the user doesn't need to do something because you have access, do it. Before pulling data, refresh the local DB so the strategy reasons against the latest funnel + copy + reply attribution:
npx tsx src/cli/index.ts campaign:import-heyreach
This is idempotent and cached (5-min TTL on stats, 1-hour TTL on chatrooms), so it's cheap on re-runs. It auto-extracts the real DM copy and reply-step attribution from chatrooms via the HeyReach MCP. If the user has other senders besides David, repeat with --sender-account-id <id>.
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 · 184 lines · 154 tokens per session scan A 485d9f85156d
campaign-strategy is a skill published in the GitHub repository Othmane-Khadri/YALC-the-GTM-operating-system (301 stars, last pushed 23d ago), licensed MIT. It adds 154 tokens to every session and 2,712 once invoked, about $0.0008 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.
Other skills, from other repositories
cn-check
Install and run the Continue CLI (cn) to execute AI agent checks on local code changes. Use when asked to "run checks", "lint with AI", "review my changes with cn", or set up Continue CI locally.
kn-spec
Use when creating a specification document for a feature (SDD workflow).
kn-handoff
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-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-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.
kn-debug
Use when debugging errors, test failures, build issues, or blocked tasks — structured triage to fix to learn.