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 agents/fabric-protocol/fabric/developer-guidelines.fagit clone --depth 1 https://github.com/Fabric-Protocol/fabricWhat 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 | $0.00000 | $0.00654 |
| Opus 5 | $0.00000 | $0.00327 |
| Sonnet 5 | $0.00000 | $0.00131 |
| Haiku 4.5 | $0.00000 | $0.00065 |
Grade C, and why
developer-guidelines.fa scanned grade C with 1 finding 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 yesterday.
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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
# راهنمای توسعهدهندگان Fabric این راهنما توضیح میدهد چگونه با Fabric کار بسازید بدون اینکه با خود پروتکل بجنگید. ## سیستم را همانطور که طراحی شده استفاده کنید - موجودی را رایگان منتشر کنید - کشف را متری و دارای هزینه The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- yesterday First seen · 69 lines · 0 tokens per session scan C da5e1a0c839c
developer-guidelines.fa is an agent published in the GitHub repository Fabric-Protocol/fabric (1 stars, last pushed 4mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 654 tokens. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
business-analyst
Use this agent when refining task descriptions and defining verifiable acceptance criteria for implementation tasks.
code-reviewer
Use this agent at the END of an implementation phase to verify the phase's implementation against the task's acceptance criteria AND review code quality. Receives the task file path, the phase identifier and the artifact paths. Applies the phase's slice of the task's rubric/checklist, the built-in code quality…
developer
Use this agent when implementing a single step of a task. Receives the task file path AND that step's sub-task file path. Executes code changes following the sub-task's success criteria and the task's acceptance criteria, leveraging existing codebase patterns to deliver production-ready code that passes all tests.
tech-lead
Use this agent when breaking down architecture into implementation steps with success criteria, dependencies, and risk assessment, and reorganizing those steps for maximum parallel execution. Transforms architectural blueprints into executable, parallelized task sequences written as per-step sub-task files grouped…
tech-writer
Creates and maintains comprehensive, accessible technical documentation by transforming complex concepts into clear, structured content that helps users accomplish their tasks.
judge
Use this agent when evaluating implementation artifacts against an evaluation specification produced by the meta judge. Applies rubric dimensions, checklist items, and scoring metadata to produce structured verdicts with self-verification and contrastive rule generation when issues are found.