bonsai-ninja: Instructions file for Codex

AGENTS.md

bonsai-ninja AGENTS.md is an instructions file for Codex, OpenCode from gromhacks/bonsai-ninja. It costs 6,225 tokens per session, scanned A, original, MIT.

Repository instructions for bonsai-ninja, a code-analysis tool that maps source code, finds symbols, traces behavior and data flow, and runs security checks.

In plain words
What is it for?
Mapping a codebase, investigating how code works, debugging data flow, running static security analysis, and keeping an index updated while files change.
Why use it?
They tell an coding agent which commands and options to use, helping it get reliable, readable results from the tool.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is gromhacks/bonsai-ninja's own configuration. It tells Codex and OpenCode how to work on bonsai-ninja itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything bonsai-ninja configures →

Reuse

Borrowing it

Nothing to install: this file belongs to gromhacks/bonsai-ninja. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/gromhacks/bonsai-ninja/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/gromhacks/bonsai-ninja

Made for: Codex, OpenCode.

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.

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README.md
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Your own site
<a href="https://agentmods.dev/instructions/gromhacks/bonsai-ninja/agents-md"><img src="https://agentmods.dev/badge/instructions/gromhacks/bonsai-ninja/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
<a href="https://agentmods.dev/instructions/gromhacks/bonsai-ninja/agents-md"><img src="https://agentmods.dev/badge/instructions/gromhacks/bonsai-ninja/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 6,225 This file is loaded in full into every session.
When invoked 6,225 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.06225 $0.06225
Opus 5.5 $0.02490 $0.02490
Sonnet 5.5 $0.01245 $0.01245
Haiku 4.5 $0.00622 $0.00622

Measured 1mo ago against content hash ab323d5fec3b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

bonsai-ninja 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 1mo 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.

AGENTS.md · 463 lines

How it starts

The opening of the file, as written. The whole thing — 463 lines — stays where its author put it; the contents beside it link to each section on GitHub.

bonsai-ninja

Use bonsai-ninja when you need structural code intelligence: map a repo, find symbols, trace behavior, debug dataflow, or run SAST.

Command truth comes from the binary:

./target/release/bonsai-ninja --help
./target/release/bonsai-ninja <command> --help
./target/release/bonsai-ninja security --help

Prefer ./target/release/bonsai-ninja; use debug only if release is missing. For scripts use --format json --no-color --no-progress; add --all or --context uncapped only for intentional exhaustive artifacts. For LLM-readable text use --no-color --no-progress --context 16k. Keep the workspace positional and prefer explicit selector flags (--query, --symbol, --file, --from, --to, --id) in scripts and agent calls. Positional selectors remain supported for interactive use, but the CLI rejects supplying both forms. Output files accept -o, --output, and --output-path. Use --html-output <file> for a standalone themed human report rendered from the command's canonical JSON result (the same document --format json prints); it must never enable additional analysis and is mutually exclusive with --output-path. For save-time workflows, keep index <workspace> --watch --no-progress running; command and SDK facades refresh saved file changes before they render. index <workspace> is the syntax/construct warm-up path: it parses source and builds declaration/import indexes without forcing a whole-workspace semantic prewarm. Use index <workspace> --semantic only when you intentionally want structural semantic sidecars and the external workspace-cache manifest.json built up front; commands still validate sidecar headers/payloads before reuse and compute requested exact facts on demand. Retrieval is candidate lookup only: search and literal-filtered browse can reuse a fresh sidecar before candidate lookup, and large-workspace inspect-graph can use a warmed sidecar only before opening a scoped workspace. Rendered facts still hydrate through canonical APIs, and scoped query workspaces do not publish partial retrieval sidecars under the full workspace cache.

Analysis sidecars live in a canonical-path-keyed OS cache directory, not in the inspected repository; cache stats <workspace> reports it and BONSAI_WORKSPACE_DIR overrides it. The cache root carries a locked canonical workspace binding so dependency-manifest freshness cannot be lost when a sidecar path is outside the source tree. Workspace-local rule overlays remain under <workspace>/.bonsai/rules/ and are not analysis caches.

A workspace ignored by an enclosing Git repository cannot use an empty Git status as freshness proof. Manifest validation and live refresh must fall back to filesystem reconciliation, including file additions, edits, renames, and deletions, without changing the selected analysis scope.

Treat the analyzer as a compiler pipeline. Each language adapter owns its Tree-sitter grammar, source-syntax recognition, declaration/import lowering, literal/value node inventories, and FlowEvent/capability facts. String and comment length filters consume adapter-proven lexical body lengths; shared browse code must not guess those boundaries by stripping source delimiters. Shared analysis consumes that typed IR; do not add language-id branches, cross-language token inventories, or API-name guesses to shared crates. Library/package/framework identities and every security-sensitive value belong in security-patterns/langs/<lang>, not in shared analysis or an adapter; adapters emit generic syntax/capability facts and rule data assigns their security meaning. Pack-wide package spelling, review profiles, test-path policy, dependency metadata, and taxonomy live in security-patterns/metadata.yml. The production taint engine is the sparse IDG fixed-point closure. It has no BFS name search, call-depth ceiling, iteration limit, or result cap. Paging and diagnostic path limits affect rendering only and must report truncation explicitly.

Read the full file on GitHub · 463 lines

Changes

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.

  1. 1mo ago Changed · +17 lines · +218 tokens per session ab323d5fec3b
  2. 1mo ago Changed · -1 lines · -64 tokens per session bad9990f9648
  3. 1mo ago Changed · +17 lines · +230 tokens per session f7d82885bfa6
  4. 1mo ago First seen · 430 lines · 5,841 tokens per session scan A da9f0fa7ab5e

Subscribe to this mod's changes

bonsai-ninja AGENTS.md is an instructions file published in the GitHub repository gromhacks/bonsai-ninja (25 stars, last pushed 2d ago), licensed MIT. It adds 6,225 tokens to every session, about $0.0249 per session on Opus 5.5. 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.

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