v9-agent-creation

v9-agent-creation is a skill for Claude Code, Codex from elevanaltd/HestAI-MCP. It costs 0 tokens per session (1,849 once invoked), scanned A, original, Apache-2.0.

A procedure for creating V9 agent files from an architecture specification and an interview assessment.

In plain words
What is it for?
Use it to create and update V9 agent definitions, choose a cognition style, and map task profiles to archetypes.
Why use it?
It reduces the risk of creating agent files with the wrong structure, identity, or configuration references.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create and update V9 agent definitions, choose a cognition style, and map task profiles to archetypes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/elevanaltd/hestai-mcp/v9-agent-creation
Install

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.

Any agent
npx skills add elevanaltd/HestAI-MCP --skill v9-agent-creation
Clone the repo
git clone --depth 1 https://github.com/elevanaltd/HestAI-MCP

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for v9-agent-creation

README.md
[![agentmods](https://agentmods.dev/badge/skills/elevanaltd/hestai-mcp/v9-agent-creation/github.svg)](https://agentmods.dev/skills/elevanaltd/hestai-mcp/v9-agent-creation)
Your own site
<a href="https://agentmods.dev/skills/elevanaltd/hestai-mcp/v9-agent-creation"><img src="https://agentmods.dev/badge/skills/elevanaltd/hestai-mcp/v9-agent-creation/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.

agentmods 80×15 button for v9-agent-creation

Your own site · 80×15
<a href="https://agentmods.dev/skills/elevanaltd/hestai-mcp/v9-agent-creation"><img src="https://agentmods.dev/badge/skills/elevanaltd/hestai-mcp/v9-agent-creation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,849 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.01849
Opus 5 $0.00000 $0.00924
Sonnet 5 $0.00000 $0.00370
Haiku 4.5 $0.00000 $0.00185

Measured 8d ago against content hash 5644de5c2666, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

v9-agent-creation 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 8d 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.

src/hestai_mcp/_bundled_hub/library/skills/v9-agent-creation/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

===SKILL:V9_AGENT_CREATION=== META: TYPE::SKILL VERSION::"1.0.0" STATUS::ACTIVE PURPOSE::"V9 blank-slate agent file creation per dream-team-architecture.md §2.2" SPEC_REFERENCE::docs/dream-team-architecture.md

§1::CORE AUTHORITY::BLOCKING[v9_agent_file_commits⊕blank_slate_violations⊕phantom_task_profile_references<when_matrix_exists>] SCOPE::"Create and modify V9 agent .oct.md files per dream-team-architecture §2.2 blank-slate schema" // V9 agent files are ~50 line identity-only documents // Skills, patterns, and archetypes resolve dynamically via archetype-matrix config

§2::PROTOCOL

CREATION_SEQUENCE::[ 1::read_dream-team-architecture_§2.2[V9_schema_spec], 2::read_interview_assessment[from_agent-interview_skill_or_structured_equivalent], // agent-interview skill uses v8.1 terminology but its behavioral questions are schema-agnostic. // Interpret assessment findings through V9 lens (profiles not capabilities, identity not chassis). 3::select_cognition[LOGOS∨ETHOS∨PATHOS]→read_cognition_master_file, 4::author_v9_agent_file[§1::IDENTITY→§2::OPERATIONAL_BEHAVIOR→§3::TASK_PROFILES→§4::GRAMMAR], 5::author_archetype_matrix_entry[map_PROFILES_to_json_node⊕assign_archetypes_per_triad_physics_N1_or_N3⊕assign_skill_keys⊕assign_pattern_keys], 6::enforce_blank_slate[no_archetypes⊕no_skills⊕no_patterns_in_agent_file], 7::request_subject_agent_signoff, 8::write_via_octave_write ]

V9_STRUCTURE::[ META::[TYPE::AGENT_DEFINITION,VERSION,PURPOSE,CONTRACT], "§1::IDENTITY"::[ROLE,COGNITION,MISSION,PRINCIPLES[],AUTHORITY{ULTIMATE,BLOCKING,MANDATE}], "§2::OPERATIONAL_BEHAVIOR"::[TONE,MUST_ALWAYS[],MUST_NEVER[],DELIVERABLES[],EVIDENCE[],GATES[],HANDOFF,ESCALATION], "§3::TASK_PROFILES"::[PROFILES::[],DEFAULT::name], "§4::GRAMMAR"::[MUST_USE::[REGEX],MUST_NOT::[PATTERN]] ] // NO ARCHETYPE in §1 (blank slate — lives in archetype-matrix config) // NO MODEL_TIER (deployment config, not identity) // NO §3::CAPABILITIES (V9 uses §3::TASK_PROFILES) // NO §4::INTERACTION_RULES (V9 uses §4::GRAMMAR) // §2 is flat (no CONDUCT wrapper)

BLANK_SLATE_RULES::[ NO_ARCHETYPES::"§1::IDENTITY must NOT contain ARCHETYPE field — archetypes resolve via archetype-matrix", NO_SKILLS::"Agent file must NOT contain skill references — skills resolve via archetype-matrix profiles", NO_PATTERNS::"Agent file must NOT contain pattern references — patterns resolve via archetype-matrix profiles", NO_MODEL_TIER::"Agent file must NOT contain MODEL_TIER — deployment config is external", PROFILE_NAMES_ONLY::"§3::TASK_PROFILES contains profile NAME list + DEFAULT — no capability bindings" ]

TASK_PROFILE_RULES::[ PROFILES_is_array_of_names[string_identifiers_not_objects], DEFAULT_must_exist_in_PROFILES_array, each_name_should_map_to_archetype-matrix_entry<when_matrix_exists>, names_use_snake_case[code_writing∨test_building∨error_diagnosis] ]

ARCHETYPE_MATRIX_EDITING::[ PROTOCOL::[ 1::read_archetype-matrix_json[resources/starter-library/config/archetype-matrix.json], 2::identify_agent_role_key[snake-case_matching_agent_file_name], 3::create_profiles_object_with_one_entry_per_TASK_PROFILE, 4::per_profile_assign[archetypes⊕skills⊕patterns], 5::write_modified_json_preserving_existing_entries[Edit_tool_for_json], 6::validate_json_syntax[python3_json_load_check] ], JSON_SCHEMA::"matrix → agent-role → profiles → { profile_name: { archetypes: [], skills: [], patterns: [] } }", DATA_ENTRY_RULE::"Read file → Edit specific node → Write back. NEVER rewrite entire file. Preserve all other agent entries.", TRIAD_PHYSICS::[ "N=1::Single archetype with behavioral emphasis for tactical focus profiles (code_writing, gating, security_review)", "N=3::Triad of archetypes with behavioral emphasis for multi-objective profiles (orchestration, refactoring, strategic_planning)", "N=2::FORBIDDEN — binary deadlock creates unresolvable tension without synthesis axis", "FORMAT::Each archetype entry is a string with behavioral emphasis: ARCHETYPE<behavioral_application>" ], ARCHETYPE_FORMAT_EXAMPLES::[ "N=1_EXAMPLE::"HEPHAESTUS<implementation_craft>"", "N=3_EXAMPLE::["ODYSSEUS<cross_boundary_navigation>", "ATLAS<ultimate_accountability>", "APOLLO<system_foresight>"]" ] ]

Read the full file on GitHub · 128 lines

Changes

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.

  1. 8d ago First seen · 128 lines · 0 tokens per session scan A 5644de5c2666

Subscribe to this mod's changes

v9-agent-creation is a skill published in the GitHub repository elevanaltd/HestAI-MCP (0 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,849 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

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…

microsoft/ai-agents-for-beginners · 200 tokens

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…

vercel/next.js · 95 tokens

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…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens