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docs: add sponsorship playbook and monthly metrics automation
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@@ -70,3 +70,5 @@ Use this on calls:
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> We track adoption through npm distribution, GitHub App installs, and repository growth.
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> Claude plugin installs are structurally undercounted publicly, so we use a blended metrics model.
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> The project supports Claude Code, Cursor, OpenCode, and Codex app/CLI with production-grade hook reliability and a large passing test suite.
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For launch-ready social copy snippets, see [`social-launch-copy.md`](./social-launch-copy.md).
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docs/business/social-launch-copy.md
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docs/business/social-launch-copy.md
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# Social Launch Copy (X + LinkedIn)
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Use these templates as launch-ready starting points. Replace placeholders before posting.
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## X Post: Release Announcement
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```text
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ECC v1.8.0 is live.
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We moved from “config pack” to an agent harness performance system:
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- hook reliability fixes
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- new harness commands
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- cross-tool parity (Claude Code, Cursor, OpenCode, Codex)
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Start here: <repo-link>
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```
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## X Post: Proof + Metrics
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```text
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If you evaluate agent tooling, use blended distribution metrics:
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- npm installs (`ecc-universal`, `ecc-agentshield`)
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- GitHub App installs
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- repo adoption (stars/forks/contributors)
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We now track this monthly in-repo for sponsor transparency.
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```
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## X Quote Tweet: Eval Skills Article
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```text
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Strong point on eval discipline.
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In ECC we turned this into production checks via:
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- /harness-audit
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- /quality-gate
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- Stop-phase session summaries
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This is where harness performance compounds over time.
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```
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## X Quote Tweet: Plankton / deslop workflow
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```text
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This workflow direction is right: optimize the harness, not just prompts.
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Our v1.8.0 focus was reliability + parity + measurable quality gates across toolchains.
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```
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## LinkedIn Post: Partner-Friendly Summary
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```text
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We shipped ECC v1.8.0 with one objective: improve agent harness performance in production.
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Highlights:
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- more reliable hook lifecycle behavior
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- new harness-level quality commands
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- parity across Claude Code, Cursor, OpenCode, and Codex
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- stronger sponsor-facing metrics tracking
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If your team runs AI coding agents daily, this is designed for operational use.
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```
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