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 agentlas-ai/agentlas-desktop --skill dhdna-profilergit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote 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/agentlas-ai/agentlas-desktop/dhdna-profiler)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/dhdna-profiler"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/dhdna-profiler/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/agentlas-ai/agentlas-desktop/dhdna-profiler"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/dhdna-profiler.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 | $0.00114 | $0.02433 |
| Opus 5.5 | $0.00046 | $0.00973 |
| Sonnet 5.5 | $0.00023 | $0.00487 |
| Haiku 4.5 | $0.00011 | $0.00243 |
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 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.
This is a copy
100% identical to dhdna-profiler — 214 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 — 185 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.
- 1mo ago First seen · 185 lines · 114 tokens per session scan A c6df69b47176
dhdna-profiler is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 114 tokens to every session and 2,433 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to dhdna-profiler, differing in 214 lines, and is treated as a copy.
Other skills, from other repositories
electron-expert
Expert in Electron framework, desktop app development, IPC, and cross-platform packaging. Use when the user mentions desktop, Node.js, cross platform, Windows, macOS, or Linux, or when the task involves Electron Architecture, Process Types, IPC Communication, or App Lifecycle.
architecture-diagram
How to draw and maintain the architecture diagram Ensemblr keeps for a workspace — ensemblrgetarchitecturediagram to fetch the stored one (it answers with null when nobody has drawn this workspace yet), the IR shape, how to derive it from the codebase, and ensemblrupdatearchitecturediagram to store it. Read this when…
ensemblr
How Ensemblr works from inside it — the workspace/git-worktree model, the ensemblr control tools and what their answers mean, the committed .ensemblr/settings.toml (setup and run scripts, [git], [prompts], [infisical], environment variables), /.config/ensemblr/config.json, the Changes panel and diff comments, the…
notifications
Send notifications through the unified notification router.
sales-icp
Build a comprehensive Ideal Customer Profile (ICP) for any B2B business - firmographic, technographic, behavioral, pain-point, budget, and channel dimensions, plus negative ICP, 100-point scoring rubric, buyer personas, prospecting playbook, and a draft first-outreach message that inherits sales-outreach Phase 0…
customer-support-specialist
Becomes a seasoned customer support specialist who triages issues, crafts empathetic responses, manages escalation workflows, and builds knowledge base articles for recurring problems. Use when the user needs help writing customer responses, classifying support tickets, designing escalation procedures, or creating FAQ…