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 magnus919/hermes-profiles --skill artifact-pyramidsgit clone --depth 1 https://github.com/magnus919/hermes-profilesWrote 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/magnus919/hermes-profiles/artifact-pyramids)<a href="https://agentmods.dev/skills/magnus919/hermes-profiles/artifact-pyramids"><img src="https://agentmods.dev/badge/skills/magnus919/hermes-profiles/artifact-pyramids/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/magnus919/hermes-profiles/artifact-pyramids"><img src="https://agentmods.dev/badge/skills/magnus919/hermes-profiles/artifact-pyramids.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 | $0.00084 | $0.02224 |
| Opus 5 | $0.00042 | $0.01112 |
| Sonnet 5 | $0.00017 | $0.00445 |
| Haiku 4.5 | $0.00008 | $0.00222 |
Grade A, and why
artifact-pyramids 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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- artifact-pyramids — 89% identical, 27 lines differ
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Artifact Pyramids for Agentic AI Research
Progressive disclosure governs how we feed agents context: metadata at startup, instructions on activation, resources on demand. The Artifact Pyramid applies the same principle to what agents produce. Three layers of increasing depth, each independently consumable, each linking down to the next.
Loading Guidance
When producing an artifact pyramid, load these references as a required set (not piecemeal):
| Reference | File |
|---|---|
| Pipeline Stages — layer definitions, navigation format, production flow | references/pipeline-stages.md |
| Output Classification Framework — role-agnostic content contracts, 00-index/L1 boundary | references/output-classification-framework.md |
| Quality Gates — verification checklists per layer | references/quality-gates.md |
| Delegation Context Template — exact text for subagent output mandates | references/delegation-context-template.md |
These four define complementary aspects of the spec that the others assume. Loading only a subset risks violating content contracts (e.g., putting findings in 00-index) or skipping required navigation affordances. Load the full set before writing any pyramid files.
The reference table below describes when to load each file; the four above are always required for pyramid production. The remaining references (framework, worked example, canonical article, intellectual lineage, provenance, composite synthesis) are supplementary — load when the task calls for conceptual depth or a worked pattern.
The Pyramid
┌──────────────┐
│ L1 SUMMARY │ One file: research question, key findings,
│ 🎯 │ most important implications. Links to L2 files.
└──────┬───────┘
┌──────┴───────┐
│ L2 ANALYSIS │ Per-dimension files: market, competitive,
│ COLLECTION │ technical feasibility, risk. Self-contained,
│ 🧩 │ each links to L3 dossiers.
└──────┬───────┘
┌──────┴───────┐
│ L3 DOSSIERS │ Source excerpts, raw data tables, interview
│ 📦 │ transcripts, methodology notes. Reference
└──────────────┘ library, pulled on demand.
What ships with it
23 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.
- assets/artifact-inventory.md 919 B
- assets/pyramid-template.md 968 B
- LICENSE 1.0 KB
- README.md 4.4 KB
- references/artifact-pyramid-framework.md 3.4 KB
- references/canonical-article.md 1.3 KB
- references/companion-session-summary.md 2.0 KB
- references/composite-pyramid-synthesis.md 3.7 KB
- references/delegation-context-template.md 2.9 KB
- references/flat-to-pyramid-migration.md 3.1 KB
- references/intellectual-lineage.md 5.0 KB
- references/methodology-to-pyramid-mapping.md 3.3 KB
- references/nested-pyramid-pattern.md 6.2 KB
- references/output-classification-framework.md 9.3 KB
- references/pipeline-stages.md 6.6 KB
- references/provenance-artifacts.md 3.3 KB
- references/quality-gates.md 4.4 KB
- references/skillopt-baseline-pyramid.md 4.6 KB
- references/skillopt-pipeline-integration.md 3.4 KB
- references/synthetic-example.md 6.8 KB
- scripts/extract-atoms.py 8.3 KB runs code
- scripts/pyramid-status.sh 7.2 KB runs code
- scripts/pyramid-status.sh.bak 8.0 KB
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.
- 12d ago First seen · 149 lines · 84 tokens per session scan A 3ab96dcb7c29
artifact-pyramids is a skill published in the GitHub repository magnus919/hermes-profiles (171 stars, last pushed 2mo ago), licensed MIT. It adds 84 tokens to every session and 2,224 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…