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/bisonbet/bisonnotes-ai/agents-mdgit clone --depth 1 https://github.com/bisonbet/BisonNotes-AIWhat 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 | $0.01184 | $0.01184 |
| Opus 5 | $0.00592 | $0.00592 |
| Sonnet 5 | $0.00237 | $0.00237 |
| Haiku 4.5 | $0.00118 | $0.00118 |
Grade A, and why
BisonNotes-AI 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Cursor Cloud specific instructions
Platform constraints
This is a native iOS/watchOS Xcode project. It requires macOS with Xcode 15+ to build, run the iOS Simulator, and execute unit/UI tests. On a Linux Cloud Agent VM:
- Cannot build:
xcodebuildis macOS-only. - Cannot run: iOS Simulator requires macOS.
- Cannot run unit/UI tests: Tests require Xcode and the simulator.
- Cannot resolve SPM dependencies via Xcode: The project uses Xcode-managed SPM (no standalone
Package.swift), and packages depend on Apple-only frameworks.
What you CAN do on Linux
- Lint: Run
swiftlint lintagainst Swift files (requiresLINUX_SOURCEKIT_LIB_PATHset; see below). - Syntax-check: Run
swiftc -parse <file.swift>to validate Swift syntax (works for files without Apple framework imports). - Code review/editing: Read, search, and edit all Swift source files, Core Data model XML, plists, entitlements, etc.
- Git operations: Full git workflow including branching, committing, and pushing.
Environment setup (Cloud Agent)
The Cloud Agent environment is defined by .cursor/environment.json, whose
install step runs .cursor/install.sh. That script is idempotent and:
- Installs the Swift OS dependencies (libcurl, libpython, etc.).
- Installs Swift 6.3.3 via Swiftly at
~/.local/share/swiftly/. - Installs SwiftLint 0.58.2 at
/usr/local/bin/swiftlint. - Appends a guarded block to
~/.bashrc(also picked up by login shells because~/.profilesources~/.bashrc) that sets: - Swiftly env:
. "${SWIFTLY_HOME_DIR:-$HOME/.local/share/swiftly}/env.sh" - SourceKit path:
export LINUX_SOURCEKIT_LIB_PATH=...(auto-computed from the installed toolchain)
To change the pinned Swift or SwiftLint version, edit the SWIFT_VERSION /
SWIFTLINT_VERSION variables at the top of .cursor/install.sh.
Running SwiftLint
cd "BisonNotes AI/BisonNotes AI"
swiftlint lint # Full lint with all details
swiftlint lint --reporter summary # Summary table only
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.
- 3d ago First seen · 98 lines · 1,184 tokens per session scan A 62a9d1e75959
BisonNotes-AI AGENTS.md is an instructions file published in the GitHub repository bisonbet/BisonNotes-AI (11 stars, last pushed 3d ago), licensed MIT. It adds 1,184 tokens to every session, about $0.0059 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.
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