Borrowing it
Nothing to install: this file belongs to dungnotnull/indie-artist-brand-development-agent-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dungnotnull/indie-artist-brand-development-agent-skill/main/CLAUDE.mdgit clone --depth 1 https://github.com/dungnotnull/indie-artist-brand-development-agent-skillWrote 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/instructions/dungnotnull/indie-artist-brand-development-agent-skill/claude-md)<a href="https://agentmods.dev/instructions/dungnotnull/indie-artist-brand-development-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/indie-artist-brand-development-agent-skill/claude-md/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/instructions/dungnotnull/indie-artist-brand-development-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/indie-artist-brand-development-agent-skill/claude-md.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 | $0.02084 | $0.02084 |
| Opus 5 | $0.01042 | $0.01042 |
| Sonnet 5 | $0.00417 | $0.00417 |
| Haiku 4.5 | $0.00208 | $0.00208 |
Grade A, and why
indie-artist-brand-development-agent-skill CLAUDE.md 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 10d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — Skill 236: indie-artist-brand-development
Skill Identity
- Skill Name:
indie-artist-brand-development - Tagline: Brand Development & Management Advisor for Independent Artists — Independent Artist Branding & Creative Marketing analysis & decision-support harness.
- Current Phase: Phase 6 — Agent Framework & Modular Architecture
- Folder:
D:\972026\236-indie-artist-brand-development\ - Version: 3.0.0 (PRODUCTION READY)
Problem This Skill Solves
This skill provides a structured, evidence-backed analytical workflow for Independent Artist Branding & Creative Marketing. It gathers authoritative real-time and reference data, applies recognised domain methods (Aaker brand personality, Keller CBBE, owned-media-first funnel, value-based pricing, revenue diversification), cross-references academic research, and delivers actionable outputs that are fully evidenced, risk/limitation-disclosed, and traceable to authoritative sources — continuously self-improving through an automated knowledge crawl pipeline. v3.0.0 wraps the workflow in a modular skill-registry agent framework with hooks, schema-validated tools, a chain-of-thought router, and context/token management.
Architecture (v3.0.0)
USER QUERY -> Router (intent routing) -> Orchestrator (run_harness.py)
SkillRegistry --execute()--> HookManager (lifecycle hooks)
ToolRegistry (schema-validated tools) ContextManager (token budget)
LLMClient (DryRun/Live) ExecutionState (steps/events/gates)
-> Quality Gates (U1-U6 + G1-G4) -> evidence-backed, risk-disclosed report
Harness flow (skills registry step order):
/indie-artist-brand-development invoked
│
├─ Step 1: sub-gather-requirements → requirements object [U4,U5]
├─ Step 2: sub-evidence-collector → evidence bundle [U1,U3,U6]
├─ Step 3: sub-core-analysis → 5-domain scorecard [G1-G4,U6]
├─ Step 4: sub-knowledge-updater → tiered citations [U1,U3]
├─ Step 5: sub-advisor → risk-disclosed verdict [U2,U5,U6]
└─ Step 6: main (quality gate) → verify U1–U6 + G1–G4
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.
- 10d ago First seen · 168 lines · 2,084 tokens per session scan A 7ce93e51a368
indie-artist-brand-development-agent-skill CLAUDE.md is an instructions file published in the GitHub repository dungnotnull/indie-artist-brand-development-agent-skill (5 stars, last pushed 1mo ago), licensed MIT. It adds 2,084 tokens to every session, about $0.0104 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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