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 liortesta/ClawdAgent --skill 23-progressive-disclosuregit clone --depth 1 https://github.com/liortesta/ClawdAgentWrote 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/liortesta/clawdagent/23-progressive-disclosure)<a href="https://agentmods.dev/skills/liortesta/clawdagent/23-progressive-disclosure"><img src="https://agentmods.dev/badge/skills/liortesta/clawdagent/23-progressive-disclosure/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/liortesta/clawdagent/23-progressive-disclosure"><img src="https://agentmods.dev/badge/skills/liortesta/clawdagent/23-progressive-disclosure.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 | $0.00000 | $0.00764 |
| Opus 5 | $0.00000 | $0.00382 |
| Sonnet 5 | $0.00000 | $0.00153 |
| Haiku 4.5 | $0.00000 | $0.00076 |
Grade A, and why
23-progressive-disclosure 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.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skills Progressive Disclosure System
Load and present skills contextually based on task relevance.
Overview
Instead of loading all 85+ skills at once (which wastes context), progressively disclose skills based on what the current task needs. This is the "show only what's relevant" pattern.
How It Works
User Message → Intent Classification → Skill Category Selection → Load Relevant Skills
Category-to-Task Mapping
AI/ML Development
| User Intent | Skills to Load |
|---|---|
| Building/training models | 01-architecture, 03-fine-tuning, 08-distributed-training |
| Model optimization | 10-optimization, 19-emerging-techniques |
| Deploying models | 12-inference-serving, 09-infrastructure |
| Data pipeline work | 05-data-processing, 13-mlops |
| RAG/search system | 15-rag, 14-agents |
| Prompt engineering | 16-prompt-engineering |
| Model evaluation | 11-evaluation, 17-observability |
| Multimodal work | 18-multimodal |
| Safety/alignment | 07-safety-alignment |
| Research writing | 20-ml-paper-writing |
Security Testing
| User Intent | Skills to Load |
|---|---|
| Penetration testing | 21-security-testing (all) |
| OSINT/recon | 21-security-testing/osint, 21-security-testing/web-scraping |
| Network analysis | 21-security-testing/network-monitoring |
| Access control audit | 21-security-testing/face-recognition |
| Threat intelligence | 21-security-testing/dark-web-recon |
General Development
| User Intent | Skills to Load |
|---|---|
| Code review | (no AI skills needed — use code-reviewer agent) |
| Architecture design | (use architect agent) |
| DevOps/deploy | (use devops-engineer agent) |
Intent Detection Keywords
const SKILL_TRIGGERS = {
'model|train|fine-tune|LoRA|PEFT': ['01', '03', '08', '10'],
'deploy|serve|inference|vLLM': ['12', '09'],
'RAG|retrieval|vector|embed': ['15', '14'],
'prompt|DSPy|few-shot': ['16'],
'security|pentest|audit|vulnerability': ['21'],
'OSINT|recon|footprint': ['21/osint', '21/web-scraping'],
'network|traffic|packet|sniff': ['21/network'],
'data|pipeline|ETL|process': ['05', '13'],
'eval|benchmark|harness': ['11'],
'safety|alignment|guard|constitutional': ['07'],
'multimodal|vision|audio|speech': ['18'],
'paper|research|NeurIPS|ICML': ['20'],
'optimize|quantize|prune|distill': ['10', '19'],
'interpret|mechanistic|probe': ['04'],
};
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.
- 8d ago First seen · 76 lines · 0 tokens per session scan A f2a4540dbf6d
23-progressive-disclosure is a skill published in the GitHub repository liortesta/ClawdAgent (11 stars, last pushed 15d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 764 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.
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