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 QVerisAI/open-qveris-skills --skill x-founder-operationsgit clone --depth 1 https://github.com/QVerisAI/open-qveris-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/qverisai/open-qveris-skills/x-founder-operations)<a href="https://agentmods.dev/skills/qverisai/open-qveris-skills/x-founder-operations"><img src="https://agentmods.dev/badge/skills/qverisai/open-qveris-skills/x-founder-operations/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/qverisai/open-qveris-skills/x-founder-operations"><img src="https://agentmods.dev/badge/skills/qverisai/open-qveris-skills/x-founder-operations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00101 | $0.04101 |
| Opus 5.5 | $0.00040 | $0.01640 |
| Sonnet 5.5 | $0.00020 | $0.00820 |
| Haiku 4.5 | $0.00010 | $0.00410 |
Grade A, and why
x-founder-operations 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 2mo 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 — 436 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X Founder Operations
Systematic X (Twitter) account operations for founders, indie developers, and tech professionals.
Who This Is For
- Founders: Building a brand, generating leads, fundraising, hiring, and establishing thought leadership while running a company
- Indie developers: Growing an audience around products, sharing the build journey, converting followers to users
- Tech professionals: Building a personal brand, establishing domain expertise, expanding professional network
This skill adapts to your specific role, goals, and growth stage through configurable profiles and goals.
Core Philosophy
Three Pillars
- Authenticity First: Your persona is a focused version of who you really are, not a character you play. People follow people, not brands.
- Value Before Promotion: 80% of content should deliver genuine value. Trust is built slowly and lost quickly.
- Data-Driven Evolution: Every post generates data. Every data point informs the next decision. Strategy evolves through empirical results, not gut feeling.
Data Integrity (Non-Negotiable)
- NEVER fabricate tweet content, metrics, or URLs
- NEVER guess or hallucinate to fill data gaps
- ALWAYS validate data through the validation workflow
- ALWAYS mark missing data as
null, never assume values
When API calls fail: STOP, report the failure honestly, and never proceed with fabricated data. See Data Validation Script for the full validation workflow.
Quick Start
1. Set Up Your Profile
Copy and customize the config templates:
config/profile.example.json → config/profile.json
config/goals.example.json → config/goals.json
config/watchlist.example.json → config/watchlist.json
config/content-calendar.example.json → config/content-calendar.json
Fill in your handle, role, product info, voice attributes, and target audience. See Profile Optimization for guidance on optimizing your X profile.
What ships with it
29 files 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.
- .evolution/README.md 925 B
- .gitignore 289 B
- config/content-calendar.example.json 2.2 KB
- config/goals.example.json 1.7 KB
- config/profile.example.json 1.7 KB
- config/watchlist.example.json 1.9 KB
- README.md 6.3 KB
- references/algorithm-guide.md 5.4 KB
- references/competitor-framework.md 5.0 KB
- references/content-strategy.md 10 KB
- references/cron-schedule.md 7.2 KB
- references/engagement-playbook.md 9.2 KB
- references/growth-benchmarks.md 5.5 KB
- references/methodology.md 9.5 KB
- references/multimodal-guide.md 7.9 KB
- references/persona-voice.md 7.9 KB
- references/product-integration.md 8.3 KB
- references/profile-optimization.md 5.0 KB
- references/thread-playbook.md 8.6 KB
- scripts/analytics_reporter.py 15 KB runs code
- scripts/content_planner.py 11 KB runs code
- scripts/x_data_validator.py 18 KB runs code
- templates/daily-review.md 965 B
- templates/monthly-review.md 1.8 KB
- templates/performance-report.md 1.7 KB
- templates/weekly-review.md 1.9 KB
- tests/test_analytics_reporter.py 10 KB runs code
- tests/test_content_planner.py 6.2 KB runs code
- tests/test_validator.py 9.8 KB runs code
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.
- 2mo ago First seen · 436 lines · 101 tokens per session scan A 78a126621252
x-founder-operations is a skill published in the GitHub repository QVerisAI/open-qveris-skills (20 stars, last pushed 1mo ago), licensed MIT. It adds 101 tokens to every session and 4,101 once invoked, about $0.0004 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 2026-08-30.
x-founder-operations compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| x-founder-operationsQVerisAI/open-qveris-skills | Skill | 20 | 1mo ago | MIT | A | 101 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 80k | 6d ago | MIT | A | 200 | Claude Code, Codex |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |