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 instructions/fernandojrr/solidifier/agents-mdgit clone --depth 1 https://github.com/FernandoJRR/solidifierWhat 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 | $0.00414 | $0.00414 |
| Opus 5 | $0.00207 | $0.00207 |
| Sonnet 5 | $0.00083 | $0.00083 |
| Haiku 4.5 | $0.00041 | $0.00041 |
Grade A, and why
solidifier AGENTS.md 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 2d 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.
What it actually says
AGENTS.md
This file provides context for AI agents working inside this repository.
What this repo is
solidifier is a multi-agent SOLID principles skill. It ships one self-contained copy of the skill per agent so each drops straight into the directory that agent scans.
Structure
claude-code/plugins/solidifier/— Claude Code plugin and skillopencode/solidifier/— OpenCode skillcopilot/solidifier/— GitHub Copilot skillcodex/solidifier/— OpenAI Codex skillinstall.sh— installs the right copy for a given agentsync.sh— propagates shared content across all four copies
Rules
- Never edit only one agent copy and leave the others behind. Run
sync.shafter any change to shared skill content. - Do not modify
.solidifier.json— that file lives in the project being worked on, not here. - Do not add abstraction for its own sake. The prime directive of this skill is restraint — apply it to the repo itself.
- Agent-specific files (
agents/openai.yaml, frontmatter variants) are intentionally not synced. Leave them alone unless you are targeting that specific agent.
Skills available in this repo
This repo does not install skills into itself. It is a skill.
AI-generated contributions
If you are an AI agent generating a PR against this repository:
-
You MUST add the label
ai-generatedto the PR. -
You MUST include the following block at the top of the PR description:
> ⚠️ AI-GENERATED PR — requires human review before merge. -
Do NOT auto-merge. Do NOT approve your own PR.
-
A human maintainer must review and approve all AI-generated changes before they are merged.
Failure to follow these rules does not block the PR from being submitted, but it will be closed without review if the label and notice are missing.
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.
- 2d ago First seen · 44 lines · 414 tokens per session scan A 0846fc17531f
solidifier AGENTS.md is an instructions file published in the GitHub repository FernandoJRR/solidifier (37 stars, last pushed 1mo ago), licensed MIT. It adds 414 tokens to every session, about $0.0021 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 2026-08-30.
Other instructions, from other repositories
agent-skills AGENTS.md
Instructions for AsyrafHussin/agent-skills, covering agent skills repository, skills overview, usage and contributing.
dxkit CLAUDE.md
Instructions for vyuh-labs/dxkit, covering claude.md — dxkit development rules, architecture rules, 1. tool invocation goes through the registry, 2. never duplicate tool invocation logic and 3. language facts come from detect.ts.
arai CLAUDE.md
Instructions for taniwhaai/arai, covering claude.md — arai, commands, architecture, prompt-collector module (src/promptcollector.rs) and extending the match pipeline.
evolve-loop GEMINI.md
Instructions for mickeyyaya/evolve-loop, covering project instructions (gemini cli), skill discovery, runtime adapter (tier-1-hybrid), tool name translation and invariants (apply to gemini context too).
anchorlaw AGENTS.md
Instructions for unknowbug/anchorlaw, covering anchorlaw 项目 agents.md(项目级常驻指令), 〇、开始工作前(每个 session 必做), 一、项目定位(一句话), 二、主工作流(judge 驱动流水线,v0.11) and 三、技能与宿主入口.
devkit CLAUDE.md
Instructions for 5uck1ess/devkit, covering claude.md, layout, architectural invariants, conventions and fixing this file.