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 mattmre/EVOKORE-MCP-PUBLIC --skill context-driven-developmentgit clone --depth 1 https://github.com/mattmre/EVOKORE-MCP-PUBLICWrote 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/mattmre/evokore-mcp-public/context-driven-development)<a href="https://agentmods.dev/skills/mattmre/evokore-mcp-public/context-driven-development"><img src="https://agentmods.dev/badge/skills/mattmre/evokore-mcp-public/context-driven-development/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/mattmre/evokore-mcp-public/context-driven-development"><img src="https://agentmods.dev/badge/skills/mattmre/evokore-mcp-public/context-driven-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00103 | $0.02345 |
| Opus 5.5 | $0.00041 | $0.00938 |
| Sonnet 5.5 | $0.00021 | $0.00469 |
| Haiku 4.5 | $0.00010 | $0.00234 |
Grade A, and why
context-driven-development 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 1mo 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.
This is a copy
91% identical to context-driven-development — 29 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 395 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context-Driven Development
Guide for implementing and maintaining context as a managed artifact alongside code, enabling consistent AI interactions and team alignment through structured project documentation.
When to Use This Skill
- Setting up new projects with Conductor
- Understanding the relationship between context artifacts
- Maintaining consistency across AI-assisted development sessions
- Onboarding team members to an existing Conductor project
- Deciding when to update context documents
- Managing greenfield vs brownfield project contexts
Core Philosophy
Context-Driven Development treats project context as a first-class artifact managed alongside code. Instead of relying on ad-hoc prompts or scattered documentation, establish a persistent, structured foundation that informs all AI interactions.
Key principles:
- Context precedes code: Define what you're building and how before implementation
- Living documentation: Context artifacts evolve with the project
- Single source of truth: One canonical location for each type of information
- AI alignment: Consistent context produces consistent AI behavior
The Workflow
Follow the Context → Spec & Plan → Implement workflow:
- Context Phase: Establish or verify project context artifacts exist and are current
- Specification Phase: Define requirements and acceptance criteria for work units
- Planning Phase: Break specifications into phased, actionable tasks
- Implementation Phase: Execute tasks following established workflow patterns
Artifact Relationships
product.md - Defines WHAT and WHY
Purpose: Captures product vision, goals, target users, and business context.
Contents:
- Product name and one-line description
- Problem statement and solution approach
- Target user personas
- Core features and capabilities
- Success metrics and KPIs
- Product roadmap (high-level)
Update when:
- Product vision or goals change
- New major features are planned
- Target audience shifts
- Business priorities evolve
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.
- 1mo ago First seen · 395 lines · 103 tokens per session scan A b69a126799e5
context-driven-development is a skill published in the GitHub repository mattmre/EVOKORE-MCP-PUBLIC (3 stars, last pushed 5mo ago), licensed MIT. It adds 103 tokens to every session and 2,345 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to context-driven-development, differing in 29 lines, and is treated as a copy.
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