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/techwolf-ai/ai-first-toolkit/agents-mdgit clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkitWhat 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 | $0.00649 | $0.00649 |
| Opus 5 | $0.00324 | $0.00324 |
| Sonnet 5 | $0.00130 | $0.00130 |
| Haiku 4.5 | $0.00065 | $0.00065 |
Grade B, and why
ai-first-toolkit AGENTS.md scanned grade B 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 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
- Codex and Antigravity installs are both managed via `./install.sh` (Codex is the default; `--ide antigravity` installs one self-contained plugin dir per plugin into `~/.gemini/config/plugins/`, matching where Antigravi How it starts
The opening of the file, as written. The whole thing — 31 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TechWolf AI-First Toolkit
This repository publishes TechWolf AI-first plugins and skills for Claude Code, Codex, and Google Antigravity.
Repository Purpose
plugins/<plugin>/is the source of truth for each plugin.- The
skills/directory in each plugin holds theSKILL.mdpackages, shared verbatim across all three targets (agentskills.io spec). There is no per-target skill rewrite. - Per-target metadata is the only thing that differs:
- Claude Code:
.claude-plugin/marketplace.json(root) andplugins/<plugin>/.claude-plugin/plugin.json. - Antigravity / vendor-neutral:
.agents/plugins/marketplace.json(root) andplugins/<plugin>/plugin.json(Antigravity plugin marker).
- Claude Code:
- Codex and Antigravity installs are both managed via
./install.sh(Codex is the default;--ide antigravityinstalls one self-contained plugin dir per plugin into~/.gemini/config/plugins/, matching where Antigravity keeps its own plugins).
Working Conventions
- Preserve the mapping between a plugin and its installed skills across all targets.
- When adding or renaming a plugin, update both marketplace manifests (
.claude-plugin/marketplace.jsonand.agents/plugins/marketplace.json) and add the per-pluginplugin.jsonmarker, keeping name/version/description in sync with.claude-plugin/plugin.json. - When changing a plugin, update Claude-, Codex-, and Antigravity-facing docs if behavior changes.
- If install behavior changes, update
README.md, plugin READMEs, andCHANGELOG.md. - Prefer adding plugin-specific agent guidance under
plugins/<plugin>/codex/AGENTS.md(the installer copies it into the install state dir for both Codex and Antigravity targets).
Codex Install Notes
./install.shinstalls skills into~/.codex/skillsby default.- The installer also manages plugin metadata, verification, and uninstall state under
~/.codex/skills/.techwolf-ai-first/. content-studiohas a plugin-level Codex entry skill in addition to its specialized skills.people-managementhas 8 skills that require/setupto be run first to configure org-specific frameworks and context.knowledge-baseships three Python helper scripts (kb-index.py,kb-verify.py,kb-validate.py) that are copied into the user's project by/setup-knowledge-base. The plugin's/kb-answerworkflow depends onkb-verify.pyexisting in the project'sscripts/directory.session-toolshas two skills:session-search(moved fromai-adoptionin v1.9.0; host-aware, reads disk transcripts) andhandoff(writesHANDOFF.mdresume notes; no platform dependency).ai-adoptionno longer includessession-search.ai-adoptionnow covers two skills only:token-doctorandtask-profile.
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 · 31 lines · 649 tokens per session scan B 460a290369fa
ai-first-toolkit AGENTS.md is an instructions file published in the GitHub repository techwolf-ai/ai-first-toolkit (96 stars, last pushed 1mo ago), licensed MIT. It adds 649 tokens to every session, about $0.0032 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
thinkrail AGENTS.md
Instructions for JetBrains/thinkrail, covering thinkrail, module structure & boundaries (top-priority requirement), engine: pi only, in-process, architecture (three rings) and repo layout.
snip CLAUDE.md
Instructions for edouard-claude/snip, covering claude.md, project overview, key concept, repository structure and architecture.
wgm AGENTS.md
Instructions for agent-frontier/wgm, covering agents.md, build & run, validate (backpressure), operational notes and codebase patterns.
AmbyKit AGENTS.md
Instructions for ambystechcom/AmbyKit, covering agents.md — ambykit, what ambykit is, golden rules, project structure and build & test.
coograph brutal-honesty.instructions.md
Global communication style — applies to all workspaces and conversations.
coograph testing.instructions.md
Conventions for test files — loaded only when editing tests.