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 DNYoussef/context-cascade --skill prompt-architectgit clone --depth 1 https://github.com/DNYoussef/context-cascadeWrote 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/dnyoussef/context-cascade/prompt-architect)<a href="https://agentmods.dev/skills/dnyoussef/context-cascade/prompt-architect"><img src="https://agentmods.dev/badge/skills/dnyoussef/context-cascade/prompt-architect/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/dnyoussef/context-cascade/prompt-architect"><img src="https://agentmods.dev/badge/skills/dnyoussef/context-cascade/prompt-architect.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 | $0.00000 | $0.01968 |
| Opus 5.5 | $0.00000 | $0.00787 |
| Sonnet 5.5 | $0.00000 | $0.00394 |
| Haiku 4.5 | $0.00000 | $0.00197 |
Grade A, and why
prompt-architect 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.
How it starts
The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/============================================================================/ /* PROMPT-ARCHITECT SKILL :: VERILINGUA x VERIX EDITION / /============================================================================*/
name: prompt-architect version: 3.0.0 description: | [assert|neutral] [assert|neutral] Meta-loop skill for prompt optimization using VERILINGUA x VERIX [ground:witnessed] [conf:0.99] [state:confirmed] [ground:given] [conf:0.95] [state:confirmed] category: foundry tags:
- general author: system cognitive_frame: primary: compositional goal_analysis: first_order: "Execute prompt-architect workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic foundry processes"
/----------------------------------------------------------------------------/ /* S0 META-IDENTITY / /----------------------------------------------------------------------------*/
[define|neutral] SKILL := { name: "prompt-architect", category: "foundry", version: "3.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed]
/----------------------------------------------------------------------------/ /* S1 COGNITIVE FRAME / /----------------------------------------------------------------------------*/
[define|neutral] COGNITIVE_FRAME := { frame: "Compositional", source: "German", force: "Build from primitives?" } [ground:cognitive-science] [conf:0.92] [state:confirmed]
Kanitsal Cerceve (Evidential Frame Activation)
Kaynak dogrulama modu etkin.
/----------------------------------------------------------------------------/ /* S2 TRIGGER CONDITIONS / /----------------------------------------------------------------------------*/
[define|neutral] TRIGGER_POSITIVE := { keywords: ["prompt-architect", "foundry", "workflow"], context: "user needs prompt-architect capability" } [ground:given] [conf:1.0] [state:confirmed]
/----------------------------------------------------------------------------/ /* S3 CORE CONTENT / /----------------------------------------------------------------------------*/
/============================================================================/ /* PROMPT ARCHITECT v3.0.0 :: VERILINGUA x VERIX EDITION / /============================================================================*/
/----------------------------------------------------------------------------/ /* S0 META-IDENTITY / /----------------------------------------------------------------------------*/
[define|neutral] PROMPT_ARCHITECT := skill( name: "prompt-architect", role: "meta-loop-optimizer", phase: 2, layer: L1 ) [ground:given] [conf:1.0] [state:confirmed]
[assert|confident] THIS_SKILL := bootstrap( cascade: commands -> agents -> skills -> playbooks, method: dogfooding, validation: self-application ) [ground:witnessed:design-doc] [conf:0.98] [state:confirmed]
[direct|emphatic] COMMUNICATION_LAYER := L1 [ground:system-policy] [conf:1.0] [state:confirmed]
/----------------------------------------------------------------------------/ /* S1 TRIGGER CONDITIONS / /----------------------------------------------------------------------------*/
[define|neutral] TRIGGER_POSITIVE := { keywords: [ "improve prompt", "optimize prompt", "refine prompt", "create prompt", "design prompt", "build prompt", "prompt quality", "prompt engineering", "evidence-based prompting", "self-consistency" ], context: user_wants_better_prompts } [ground:given] [conf:1.0] [state:confirmed]
[define|neutral] TRIGGER_NEGATIVE := { agent_system_prompts: use(agent-creator) OR use(prompt-forge), skill_creation: use(skill-creator-agent), this_skill_improvement: use(skill-forge), one_time_prompt: skip(direct_crafting_faster) } [ground:given] [conf:1.0] [state:confirmed]
What ships with it
25 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.
- CHANGELOG.md 2.3 KB
- COGNITIVE-ARCHITECTURE-ADDENDUM.md 13 KB
- examples/chain-of-thought-example.md 14 KB
- examples/example-1-basic.md 12 KB
- examples/few-shot-optimization-example.md 19 KB
- examples/prompt-engineering-complete-guide.md 19 KB
- graphviz/prompt-architect-process.dot 3.5 KB
- manifest.json 1.2 KB
- prompt-architect-process.dot 4.1 KB
- RECURSIVE-IMPROVEMENT-ADDENDUM.md 6.2 KB
- references/anti-patterns.md 7.8 KB
- references/meta-principles.md 43 KB
- references/readme.md 6.5 KB
- references/verification-synthesis.md 27 KB
- resources/optimization-config.json 8.3 KB
- resources/optimization-engine.js 17 KB runs code
- resources/pattern-detector.sh 8.1 KB runs code
- resources/pattern-library.yaml 17 KB
- resources/prompt-analyzer.py 16 KB runs code
- resources/prompt-template.yaml 11 KB
- resources/prompt-tester.py 16 KB runs code
- resources/readme.md 11 KB
- tests/test-analyzer.py 11 KB runs code
- tests/test-optimizer.js 9.9 KB runs code
- tests/test-tester.py 12 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.
- 1mo ago First seen · 230 lines · 0 tokens per session scan A 519d4dbcb95e
prompt-architect is a skill published in the GitHub repository DNYoussef/context-cascade (32 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,968 tokens. 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.
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