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/magic3007/dotfiles/dhdna-profilernpx skills add magic3007/dotfiles --skill dhdna-profilergit clone --depth 1 https://github.com/magic3007/dotfilesWrote 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/magic3007/dotfiles/dhdna-profiler)<a href="https://agentmods.dev/skills/magic3007/dotfiles/dhdna-profiler"><img src="https://agentmods.dev/badge/skills/magic3007/dotfiles/dhdna-profiler.svg" alt="Measured on agentmods" 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 | $0.00114 | $0.02134 |
| Opus 5 | $0.00057 | $0.01067 |
| Sonnet 5 | $0.00023 | $0.00427 |
| Haiku 4.5 | $0.00011 | $0.00213 |
Grade A, and why
dhdna-profiler 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 4d 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.
This is a copy
94% identical to dhdna-profiler — 23 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DHDNA Profiler — Cognitive Pattern Extraction
A structured system for extracting the cognitive fingerprint of any text's author. Based on the Digital Human DNA (DHDNA) framework — the theory that every mind has a unique signature pattern expressed through how it reasons, decides, values, and communicates.
Published research: DHDNA Pre-print (DOI: 10.5281/zenodo.18736629) | IDNA Consolidation v2 (DOI: 10.5281/zenodo.18807387)
Core Concept
Just as biological DNA encodes physical identity through base pairs, Digital Human DNA encodes cognitive identity through thinking patterns. Every person's combination of analytical depth, creative range, emotional processing, strategic thinking, and ethical reasoning creates a unique cognitive signature — as distinctive as a fingerprint.
The profiler doesn't judge thinking as "good" or "bad." It maps the topology of how a mind works.
The 12 Cognitive Dimensions
When profiling text, score each dimension on a 1–10 scale based on evidence in the text:
| # | Dimension | What It Measures | Low Score (1-3) | High Score (8-10) |
|---|---|---|---|---|
| 1 | Analytical Depth | Logical rigor, structured reasoning, causal chains | Intuitive, holistic, pattern-based | Systematic, proof-oriented, precise |
| 2 | Creative Range | Novelty of connections, metaphor use, lateral thinking | Conventional, incremental | Paradigm-breaking, cross-domain synthesis |
| 3 | Emotional Processing | Emotional vocabulary, empathy signals, affect integration | Detached, clinical | Emotionally rich, feeling-integrated |
| 4 | Linguistic Precision | Vocabulary sophistication, sentence architecture, rhetoric | Simple, direct | Architecturally complex, nuanced |
| 5 | Ethical Reasoning | Values signals, fairness concern, consequence awareness | Pragmatic, outcome-focused | Principle-driven, justice-oriented |
| 6 | Strategic Thinking | Long-term planning, competitive awareness, resource optimization | Tactical, reactive | Multi-move, game-theoretic |
| 7 | Memory Integration | Reference to past experience, historical patterns, continuity | Present-focused | Deep historical awareness, precedent-driven |
| 8 | Social Intelligence | Audience awareness, perspective-taking, relational framing | Self-referential | Deeply other-aware, coalition-building |
| 9 | Domain Expertise | Technical depth, specialized knowledge, jargon confidence | Generalist | Deep specialist |
| 10 | Intuitive Reasoning | Gut-feel signals, heuristic shortcuts, pattern leaps | Methodical, step-by-step | Leap-of-faith, insight-driven |
| 11 | Temporal Orientation | Time-horizon of thinking — past, present, or future focus | Present-anchored | Time-spanning, historical-to-futurist |
| 12 | Metacognition | Self-awareness of own thinking, uncertainty acknowledgment | Unreflective | Deeply self-aware, thinks about thinking |
What ships with it
1 file 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.
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.
- 4d ago First seen · 164 lines · 114 tokens per session scan A 6aace39e278a
dhdna-profiler is a skill published in the GitHub repository magic3007/dotfiles (11 stars, last pushed yesterday), licensed MIT. It adds 114 tokens to every session and 2,134 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to dhdna-profiler, differing in 23 lines, and is treated as a copy.
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github-pr-create
Create a pull request with an auto-generated description. Use when the user asks to open a PR for the current branch's changes.
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Inspect a project for potentially malicious code (malware, spyware, etc.) using static analysis only. Use when the user asks to audit a project or dependency for malicious or suspicious code.
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Verify that the correct git binary is in use, especially when running under WSL with a Windows filesystem. Use the first time a git command is executed in a session.