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 agentmods add skills/matrixfounder/agentic-development/skill-phase-contextnpx skills add MatrixFounder/Agentic-development --skill skill-phase-contextgit clone --depth 1 https://github.com/MatrixFounder/Agentic-developmentWhat 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 | $0.00038 | $0.01232 |
| Opus 5 | $0.00019 | $0.00616 |
| Sonnet 5 | $0.00008 | $0.00246 |
| Haiku 4.5 | $0.00004 | $0.00123 |
Grade A, and why
skill-phase-context 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 2d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase Context Loading Protocol
This skill defines skill loading tiers to optimize token consumption while preserving automation capabilities.
[!IMPORTANT] Single Source of Truth for Skill Loading Strategy. Reference this skill to understand WHEN to load WHICH skills.
TIER 0: System Foundation — ALWAYS LOADED
[!CAUTION] NEVER lazy-load TIER 0 skills. They enable core automation. These skills MUST be available in EVERY session at bootstrap.
| Skill | Tokens | Why Always Load |
|---|---|---|
core-principles |
~519 | Anti-hallucination rules, Stub-First, Documentation First |
skill-safe-commands |
~927 | Enables automation — mv, ls, git, tests auto-run |
artifact-management |
~636 | Archiving protocol, file management, dual state tracking |
| TOTAL | ~2,082 | Non-negotiable system foundation |
TIER 0 Loading Rule
- Load at session bootstrap (via
GEMINI.md/.cursorrules) - These skills are loaded BEFORE any phase begins
- Never remove or defer loading of TIER 0 skills
TIER 1: Phase-Triggered — Load on Phase Entry
These skills are phase-specific and loaded when entering the corresponding phase.
| Phase | Skills to Load | Approx. Tokens |
|---|---|---|
| Analysis | requirements-analysis, skill-task-model, artifact-formalizer (contract only), (skill-archive-task if new task) |
~3,100-4,000 |
| Architecture | architecture-design, artifact-formalizer (contract only), (architecture-format-core OR -extended) |
~2,850-4,200 |
| Planning | planning-decision-tree, skill-planning-format, tdd-stub-first, artifact-formalizer (contract only) |
~2,525 |
| Development | developer-guidelines, documentation-standards |
~1,100 |
| Review | Phase-specific -review-checklist skill |
~300-400 |
| Security | security-audit |
~500 |
| VDD | vdd-adversarial, (adversarial-* per workflow) |
~1,000-2,500 |
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.
- 2d ago First seen · 115 lines · 38 tokens per session scan A 097e0a38e762
skill-phase-context is a skill published in the GitHub repository MatrixFounder/Agentic-development (5 stars, last pushed 19d ago), licensed Apache-2.0. It adds 38 tokens to every session and 1,232 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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