Borrowing it
Nothing to install: this file belongs to pavel-molyanov/molyanov-ai-dev. 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/pavel-molyanov/molyanov-ai-dev/main/.agents/skills/project-initialization/assets/new-project/.claude/skills/project-knowledge/SKILL.mdgit clone --depth 1 https://github.com/pavel-molyanov/molyanov-ai-devWrote 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/pavel-molyanov/molyanov-ai-dev/project-knowledge)<a href="https://agentmods.dev/skills/pavel-molyanov/molyanov-ai-dev/project-knowledge"><img src="https://agentmods.dev/badge/skills/pavel-molyanov/molyanov-ai-dev/project-knowledge/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/pavel-molyanov/molyanov-ai-dev/project-knowledge"><img src="https://agentmods.dev/badge/skills/pavel-molyanov/molyanov-ai-dev/project-knowledge.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 | $0.00056 | $0.00601 |
| Opus 5.5 | $0.00022 | $0.00240 |
| Sonnet 5.5 | $0.00011 | $0.00120 |
| Haiku 4.5 | $0.00006 | $0.00060 |
Grade A, and why
project-knowledge 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 6d 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Knowledge
This skill provides access to project documentation that defines how this project works, how code should be written, and how features should be developed.
When to use
Activate this skill when you need to:
- Understand project architecture, tech stack, and data model
- Learn coding patterns, git workflow, and testing approach
- Check deployment setup, monitoring, and operational procedures
- Apply UX guidelines and design system
- Make technical decisions aligned with project standards
Core references
All documentation is in the references/ folder:
- project.md - Project overview, purpose, target audience, core features, scope boundaries
- architecture.md - Tech stack, project structure, dependencies, external integrations, data flow, data model (schema, migrations, sensitive data)
- patterns.md - Project-specific coding conventions, git workflow (branching, testing, security gates), testing & verification methods, business rules
- deployment.md - Runtime platform, routine delivery, direct-operation boundary, agent/operations host, environments, rollback, monitoring, and recovery
Optional references
- ux-guidelines.md - Interface language, tone of voice, domain glossary, text patterns, design system (only for projects with significant UI)
- {custom}.md - Domain-specific files added per project (e.g., vault.md, bot.md, mcp.md)
How to use
Read specific guides as needed for your task:
- Starting feature development - read project.md, architecture.md, patterns.md
- Implementing database changes - read architecture.md (Data Model section)
- Working on UI/UX - read ux-guidelines.md
- Setting up deployment - read deployment.md
- Creating branches or PRs - read patterns.md (Git Workflow section)
- Investigating logs or errors - read deployment.md (Monitoring section)
- Working with domain logic - read patterns.md (Business Rules section)
What ships with it
5 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.
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.
- 6d ago Changed · -1 lines · +8 tokens per session a5c392cdb341
- 1mo ago First seen · 52 lines · 48 tokens per session scan A 8b49e7b36428
project-knowledge is a skill published in the GitHub repository pavel-molyanov/molyanov-ai-dev (300 stars, last pushed 6d ago), licensed MIT. It adds 56 tokens to every session and 601 once invoked, about $0.0002 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.
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