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 Ibrahim-3d/orchestrator-supaconductor --skill context-driven-developmentgit clone --depth 1 https://github.com/Ibrahim-3d/orchestrator-supaconductorWrote 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/ibrahim-3d/orchestrator-supaconductor/context-driven-development)<a href="https://agentmods.dev/skills/ibrahim-3d/orchestrator-supaconductor/context-driven-development"><img src="https://agentmods.dev/badge/skills/ibrahim-3d/orchestrator-supaconductor/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/ibrahim-3d/orchestrator-supaconductor/context-driven-development"><img src="https://agentmods.dev/badge/skills/ibrahim-3d/orchestrator-supaconductor/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 | $0.00040 | $0.02367 |
| Opus 5.5 | $0.00016 | $0.00947 |
| Sonnet 5.5 | $0.00008 | $0.00473 |
| Haiku 4.5 | $0.00004 | $0.00237 |
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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 · 393 lines · 40 tokens per session scan A 29a60c419c54
context-driven-development is a skill published in the GitHub repository Ibrahim-3d/orchestrator-supaconductor (380 stars, last pushed 28d ago), licensed AGPL-3.0. It adds 40 tokens to every session and 2,367 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 2026-09-03.
Other skills, from other repositories
handoff
Generate a session-continuity document for resuming dev-team work in a new session. Use when the user says 'handoff', 'save progress', 'session summary', 'wrap up for now', 'continue later', or wants to preserve current dev-team state.
agent-team-os
Run a team of AI agents (or one agent in several role sessions) as one governed unit — layered long-term memory, hub-coordinated governance with evidence anchors and human approval gates, an identity-based agent mailbox with receipts, and an event-driven doorbell that wakes seats on new mail without polling. Use when…
Starlight-Intelligence-System
You are operating at the substrate layer. Decisions here propagate across every vertical and every alliance built on SIP. Move with the gravity that implies.
crewai-multi-agent
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies…
review-team
A multi-reviewer code review process that checks a change from several specialist viewpoints and combines the results into one report. It can cover bugs, security, tests, dependencies, frontend behavior, and continuous-integration workflows.
swarmclaw
AI agent runtime and multi-agent orchestration platform. Teaches agents how to use SwarmClaw's 6 primitive tools, persistent memory, dreaming, delegation, connectors, credentials, and the skill system. Use when an agent is running on SwarmClaw and needs to understand the platform's capabilities.