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/noesisvision/nasde-toolkit/claude-mdgit clone --depth 1 https://github.com/NoesisVision/nasde-toolkitWrote 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/instructions/noesisvision/nasde-toolkit/claude-md)<a href="https://agentmods.dev/instructions/noesisvision/nasde-toolkit/claude-md"><img src="https://agentmods.dev/badge/instructions/noesisvision/nasde-toolkit/claude-md.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 | $0.10790 | $0.10790 |
| Opus 5 | $0.05395 | $0.05395 |
| Sonnet 5 | $0.02158 | $0.02158 |
| Haiku 4.5 | $0.01079 | $0.01079 |
Grade B, and why
nasde-toolkit CLAUDE.md scanned grade B with 2 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 4d 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.
Enumerates other installed skillsmediumAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
- **Variant system**: Each variant is a directory under `variants/` with a required `variant.toml` declaring the agent type (`agent = "claude"`, `agent = "codex"`, or `agent = "gemini"`). For Claude Code variants, `CLAUD Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Opik verification**: always use Python `urllib.request`, not curl (curl drops the `Comet-Workspace` header). How it starts
The opening of the file, as written. The whole thing — 427 lines — stays where its author put it; the contents beside it link to each section on GitHub.
nasde-toolkit
AI coding agent evaluation toolkit. CLI entry point: nasde.
Package structure
src/nasde_toolkit/
__init__.py # Re-exports __version__ from _version.py
_version.py # Auto-generated by hatch-vcs from git tags (gitignored)
cli.py # Typer CLI (init, run, eval, install-skills + harbor/opik pass-through)
config.py # nasde.toml + task.toml parsing into dataclasses
runner.py # Harbor Python API — variant resolution, config merging, Job execution
evaluator.py # Post-hoc assessment via pluggable CLI subprocess backends
evaluator_backends/
__init__.py
protocol.py # EvaluatorBackend Protocol
claude_subprocess.py # `claude -p` subprocess backend (default)
codex_subprocess.py # `codex exec` subprocess backend
results_exporter.py # `nasde results-export` — copy trial artifact essence to a plain dir
pricing.py / pricing.toml # Versioned model price catalog (ADR-011) — load + compute_cost_usd; layered override via load_pricing_layered + provenance via resolve_pricing_layers/effective_pricing_with_source (ADR-013)
pricing_report.py # Shared Rich table renderer for the effective price catalog (nasde pricing show + run summary, ADR-013)
token_metrics.py # Token usage + cost economics from trajectory final_metrics (ADR-011)
calibration_publisher.py # `nasde calibrate` — publish trial diffs+assessments as PRs/MRs (ADR-010)
calibration_resolve.py # Resolve [calibration] repo → (api slug, push url, platform)
git_platform_backends/
__init__.py # create_git_backend(url) — URL auto-detect + factory
protocol.py # GitPlatformBackend Protocol + RepoRef/PrRef/ReviewComment
detect.py # detect_platform(url) — github/gitlab from host (+ override)
git_ops.py # GIT layer — orphan base + feature branch push (not behind Protocol)
github_cli.py # GitHubCliBackend (`gh`)
gitlab_cli.py # GitLabCliBackend (`glab`)
docker.py # Docker environment helpers ([nasde.source] + [nasde.plugin] staging)
plugin_registration.py # Shared skill + MCP registration ([nasde.plugin] + variant [[skill]])
scaffold/
__init__.py # Project scaffolding templates and file creation
skills_installer.py # `nasde install-skills` — copies bundled authoring skills to ~/.claude/skills/
agents/
__init__.py
configurable_claude.py # Harbor-compatible Claude Code agent with sandbox file injection
configurable_codex.py # Harbor-compatible Codex agent with sandbox file injection
configurable_gemini.py # Harbor-compatible Gemini CLI agent with sandbox file injection
tests/
pyproject.toml
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.
- 4d ago First seen · 427 lines · 10,790 tokens per session scan B d05451721c93
nasde-toolkit CLAUDE.md is an instructions file published in the GitHub repository NoesisVision/nasde-toolkit (12 stars, last pushed 11d ago), licensed MIT. It adds 10,790 tokens to every session, about $0.0539 per session on Opus 5. A static security scan graded it B with 2 findings (enumerates other installed skills, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
eval-view AGENTS.md
Instructions for hidai25/eval-view, covering evalview agent instructions, what evalview is, core concepts, testcase and evaluationresult.
verifyax-mcp CLAUDE.md
Claude Code instructions for verifyax/verifyax-mcp, covering claude.md, what we're building, v1 scope and constraints, architecture decisions (already made — do not re-litigate) and verifyax api reference.
martin-loop AGENTS.md
AGENTS.md instructions for Keesan12/martin-loop, covering martinloop agent operating rules, repository authority, mandatory internal-first sequence, prohibited actions and required internal health proof.
sample-well-architected-skills-and-steering copilot-instructions.md
Copilot instructions for aws-samples/sample-well-architected-skills-and-steering, covering well-architected framework, role, when to apply, pillars and design principles.
Agent-Skills AGENTS.md
AGENTS.md instructions for jscraik/Agent-Skills, covering agent-skills agent guide, root essentials, project-specific correction boundary and further guidance.
cli AGENTS.md
AGENTS.md instructions for jumbocontext/cli, covering agents.md and instructions for agents on how to collaborate with jumbo.