Borrowing it
Nothing to install: this file belongs to strikersam/autonomous-ai-agency. 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/strikersam/autonomous-ai-agency/master/.claude/skills/fabric-patterns/SKILL.mdgit clone --depth 1 https://github.com/strikersam/autonomous-ai-agencyWrote 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/strikersam/autonomous-ai-agency/fabric-patterns)<a href="https://agentmods.dev/skills/strikersam/autonomous-ai-agency/fabric-patterns"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/fabric-patterns/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/strikersam/autonomous-ai-agency/fabric-patterns"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/fabric-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 11 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00028 | $0.00949 |
| Opus 5.5 | $0.00011 | $0.00380 |
| Sonnet 5.5 | $0.00006 | $0.00190 |
| Haiku 4.5 | $0.00003 | $0.00095 |
Grade A, and why
fabric-patterns 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 7d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: fabric-patterns
Purpose
Provides a reusable prompt pattern system inspired by Fabric (danielmiessler/fabric). Enables agents to store, retrieve, and compose prompt patterns for consistent and efficient AI interactions.
When to Use
- When you need to reuse a specific prompt structure multiple times
- When you want to compose complex prompts from simpler patterns (stitching)
- When implementing agent behaviors that benefit from standardized prompt templates
- Before creating ad-hoc prompts that could be standardized
Directory Structure
This skill creates and manages:
.claude/skills/fabric-patterns/
patterns/ ← Directory for storing pattern files
summarize.md ← Example pattern: summarize content
extract_wisdom.md ← Example pattern: extract key insights
... ← Other patterns
PATTERN_INDEX.md ← Index of all available patterns
Pattern File Format
Each pattern is a Markdown file with optional YAML frontmatter:
---
name: pattern_name
description: Human-readable description of what the pattern does
version: "1.0.0"
---
The content after the frontmatter is the prompt template. Template variables can be used with {{variable_name}} syntax.
Steps
1. Ensure Pattern Directory Exists
The skill ensures .claude/skills/fabric-patterns/patterns/ exists.
2. List Available Patterns
Use the list_patterns tool to see all available patterns.
3. Retrieve a Pattern
Use the get_pattern tool to retrieve a pattern's content.
4. Apply a Pattern with Variables
Use the apply_pattern tool to render a pattern with specific variable values.
5. Stitch Patterns Together
Use the stitch_patterns tool to combine multiple patterns in sequence,
where the output of one pattern becomes the input to the next.
6. Create New Patterns
Create new Markdown files in the patterns directory following the format above.
Tools Provided
This skill provides the following tools (to be implemented in agent/tools.py):
list_patterns(): Lists all available pattern names and descriptionsget_pattern(name): Retrieves the raw content of a patternapply_pattern(name, variables): Applies a pattern with variable substitutionstitch_patterns(pattern_names, initial_input): Chains patterns together
What ships with it
5 files 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.
- 7d ago Changed · +1 lines 6f4c7de3fbbf
- 1mo ago First seen · 131 lines · 28 tokens per session scan A df6112210179
fabric-patterns is a skill published in the GitHub repository strikersam/autonomous-ai-agency (11 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 949 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
chain-of-thought-prompts
Chain-of-thought and step-by-step reasoning prompts for complex problem solving.
few-shot-example-gen
Few-shot example generation and optimization for improved LLM performance.
llm-classifier
LLM-based zero-shot and few-shot classification for flexible intent detection.
prompt-compression
Token-efficient prompt compression techniques for cost optimization.
prompt-injection-detector
Prompt injection detection and prevention for secure LLM applications.
prompt-template-design
Structured prompt template creation with variables, formatting, and version control.