Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/carbeneai/forge/fabric)<a href="https://agentmods.dev/skills/carbeneai/forge/fabric"><img src="https://agentmods.dev/badge/skills/carbeneai/forge/fabric.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 5.1 | $0.00065 | $0.01120 |
| Opus 5 | $0.00032 | $0.00560 |
| Sonnet 5 | $0.00013 | $0.00224 |
| Haiku 4.5 | $0.00006 | $0.00112 |
Grade A, and why
fabric 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 6d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fabric Skill - Native Pattern Execution
The Key Insight
Fabric patterns are just markdown prompts. Instead of spawning fabric -p pattern_name for every task, Claude Code reads and applies patterns directly from tools/patterns/. This gives you:
- Your Claude subscription's full power - Opus/Sonnet intelligence, not Fabric's default model
- Full conversation context - Patterns work with your entire session
- No CLI overhead - Faster execution, no process spawning
- Same 248 patterns - All the patterns you know, just applied natively
When to Use Native Patterns (Default)
For any pattern-based processing:
- Read
tools/patterns/{pattern_name}/system.md - Apply the pattern instructions directly to the content
- Return results without external CLI calls
Examples:
User: "Extract wisdom from this transcript"
→ Read tools/patterns/extract_wisdom/system.md
→ Apply pattern to content
→ Return structured output (IDEAS, INSIGHTS, QUOTES, etc.)
User: "Create a threat model for this API"
→ Read tools/patterns/create_threat_model/system.md
→ Apply pattern to the API description
→ Return threat model
User: "Summarize this article"
→ Read tools/patterns/summarize/system.md
→ Apply pattern to article
→ Return summary
When to Still Use Fabric CLI
Only use the fabric command for operations that require external services:
| Operation | Command | Why CLI Needed |
|---|---|---|
| YouTube transcripts | fabric -y "URL" |
Downloads video, extracts transcript |
| Update patterns | fabric -U |
Pulls from GitHub |
| List patterns | fabric -l |
Quick reference |
For everything else, use native patterns.
Pattern Categories (248 Total)
Threat Modeling & Security
create_threat_model- General threat modelingcreate_stride_threat_model- STRIDE methodologycreate_threat_scenarios- Threat scenario generationanalyze_threat_report- Threat report analysiscreate_sigma_rules- SIGMA detection ruleswrite_nuclei_template_rule- Nuclei scanner templateswrite_semgrep_rule- Semgrep static analysis rules
What ships with it
60 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.
- fabric-repo/.devcontainer/devcontainer.json 82 B
- fabric-repo/.dockerignore 61 B
- fabric-repo/.envrc 35 B
- fabric-repo/.github/ISSUE_TEMPLATE/bug.yml 2.6 KB
- fabric-repo/.github/ISSUE_TEMPLATE/feature-request.yml 386 B
- fabric-repo/.github/ISSUE_TEMPLATE/question.yml 364 B
- fabric-repo/.github/pull_request_template.md 318 B
- fabric-repo/.github/workflows/ci.yml 700 B
- fabric-repo/.github/workflows/patterns.yaml 1.1 KB
- fabric-repo/.github/workflows/release.yml 1.3 KB
- fabric-repo/.github/workflows/update-version-and-create-tag.yml 4.8 KB
- fabric-repo/.gitignore 6.4 KB
- fabric-repo/.goreleaser.yaml 1.2 KB
- fabric-repo/CHANGELOG.md 135 KB
- fabric-repo/cmd/code_helper/code.go 4.0 KB
- fabric-repo/cmd/code_helper/main.go 1.6 KB
- fabric-repo/cmd/fabric/main.go 247 B
- fabric-repo/cmd/fabric/version.go 39 B
- fabric-repo/cmd/generate_changelog/changelog.db 3156 KB
- fabric-repo/cmd/generate_changelog/incoming/1780.txt 514 B
- fabric-repo/cmd/generate_changelog/incoming/1794.txt 297 B
- fabric-repo/cmd/generate_changelog/internal/cache/cache.go 13 KB
- fabric-repo/cmd/generate_changelog/internal/changelog/generator_test.go 2.8 KB
- fabric-repo/cmd/generate_changelog/internal/changelog/generator.go 24 KB
- fabric-repo/cmd/generate_changelog/internal/changelog/merge_detection_test.go 1.9 KB
- fabric-repo/cmd/generate_changelog/internal/changelog/processing_test.go 7.1 KB
- fabric-repo/cmd/generate_changelog/internal/changelog/processing.go 18 KB
- fabric-repo/cmd/generate_changelog/internal/changelog/summarize.go 2.8 KB
- fabric-repo/cmd/generate_changelog/internal/config/config.go 461 B
- fabric-repo/cmd/generate_changelog/internal/git/types.go 352 B
- fabric-repo/cmd/generate_changelog/internal/git/walker.go 15 KB
- fabric-repo/cmd/generate_changelog/internal/github/client.go 11 KB
- fabric-repo/cmd/generate_changelog/internal/github/email_test.go 1.2 KB
- fabric-repo/cmd/generate_changelog/internal/github/types.go 1.6 KB
- fabric-repo/cmd/generate_changelog/internal/release.go 4.4 KB
- fabric-repo/cmd/generate_changelog/main.go 4.5 KB
- fabric-repo/cmd/generate_changelog/PRD.md 4.8 KB
- fabric-repo/cmd/generate_changelog/README.md 8.7 KB
- fabric-repo/cmd/generate_changelog/util/token.go 924 B
- fabric-repo/cmd/to_pdf/main.go 5.9 KB
- fabric-repo/completions/_fabric 8.9 KB
- fabric-repo/completions/fabric.bash 4.9 KB runs code
- fabric-repo/completions/fabric.fish 9.2 KB
- fabric-repo/completions/setup-completions.sh 16 KB runs code
- fabric-repo/data/patterns/agility_story/system.md 827 B
- fabric-repo/data/patterns/agility_story/user.md 0 B
- fabric-repo/data/patterns/ai/system.md 485 B
- fabric-repo/data/patterns/analyze_answers/README.md 2.1 KB
- fabric-repo/data/patterns/analyze_answers/system.md 3.2 KB
- fabric-repo/data/patterns/analyze_bill_short/system.md 1.1 KB
- fabric-repo/data/patterns/analyze_bill/system.md 1.0 KB
- fabric-repo/data/patterns/analyze_candidates/system.md 1.2 KB
- fabric-repo/data/patterns/analyze_candidates/user.md 0 B
- fabric-repo/data/patterns/analyze_cfp_submission/system.md 2.4 KB
- fabric-repo/data/patterns/analyze_claims/system.md 2.7 KB
- fabric-repo/data/patterns/analyze_claims/user.md 0 B
- fabric-repo/data/patterns/analyze_comments/system.md 1.1 KB
- fabric-repo/data/patterns/analyze_debate/system.md 3.6 KB
- fabric-repo/data/patterns/analyze_email_headers/system.md 2.6 KB
- fabric-repo/data/patterns/analyze_email_headers/user.md 0 B
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.
- 6d ago First seen · 139 lines · 65 tokens per session scan A da2267cf11dc
fabric is a skill published in the GitHub repository CarbeneAI/Forge (9 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 1,120 once invoked, about $0.0003 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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