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/cpatrickalves/plane-cli/agents-mdgit clone --depth 1 https://github.com/cpatrickalves/plane-cliWhat 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 | $0.01512 | $0.01512 |
| Opus 5 | $0.00756 | $0.00756 |
| Sonnet 5 | $0.00302 | $0.00302 |
| Haiku 4.5 | $0.00151 | $0.00151 |
Grade A, and why
plane-cli AGENTS.md scanned grade A 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 yesterday.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Documents (Pages): SDK support is incomplete; `commands/documents.py` calls the HTTP API directly with `requests` + `X-Api-Key` via `run_sdk(requests.get, ...)`. How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PlaneCLI
A Python CLI for Plane.so (SaaS or self-hosted) that manages projects, work items, cycles, modules, documents, labels, states, intake queues, and comments. Its defining feature is fuzzy resource resolution: any resource can be referenced by name, identifier (ABC-123), or UUID. Built with cyclopts, Rich, rapidfuzz, cashews, and the official plane-sdk.
Language
All docs, comments, and commit messages in English.
Commands
Everything runs through uv; common tasks are wrapped in the Makefile.
make install # uv sync (dev environment)
make test # uv run pytest tests/
make lint # ruff check src/
make lint-fix # ruff check --fix src/
make format # ruff format src/ tests/
make check # lint + test — run before committing
make run ARGS="wi ls -p Frontend" # run the CLI
Single test: uv run pytest tests/test_resolve.py::test_name -v. Line length 100, Python >= 3.11, ruff selects E, F, I, W.
Structure
src/planecli/
app.py # Root cyclopts App; main() entry point; sub-app registration
commands/ # One module per resource (list/show/create/update/delete). New features go here.
utils/resolve.py # Resolution layer: resolve_<x>/resolve_<x>_async (UUID → identifier → fuzzy name)
utils/fuzzy.py # rapidfuzz token_sort_ratio, threshold 60
api/ # client.py (PlaneClient singleton); async_sdk.py (async wrapper)
cache.py # cashews disk cache; one cached_list_<x> per resource
formatters/ # output() / output_single() — table to stderr, JSON to stdout
exceptions.py # PlaneCLIError subclasses with message/hint/exit_code
Request flow: command → resolve → async SDK wrapper → (cache | Plane SDK) → formatter. See docs/architecture.md.
Conventions
- Never call the sync Plane SDK directly from a command. Wrap single calls in
run_sdk(fn, *args)and paginated lists inpaginate_all_async(list_fn, ...). For concurrent batches usecreate_client()(a fresh client per thread — don't share the singleton'srequests.Session). See ADR-0001. - Reads go through the cache layer. Resolvers and list commands call
cached_list_<x>(...), which returns plain dicts (not Pydantic models). After any create/update/delete, callawait invalidate_resource("<resource>", workspace, project_id). See ADR-0004. - Error handling. Wrap SDK calls in
try/except PlaneErrorandraise handle_api_error(e). RaiseValidationError/ResourceNotFoundErrorfor user-facing problems. Exit codes: Auth=2, NotFound=3, API=4, Validation=5. --jsonflag. Every read/mutate command takesjson: bool = Falseand passesas_json=jsonto the formatter. Table output stays on stderr so--json 2>/dev/nullyields clean JSON. See ADR-0005.- Lazy imports. Import SDK models and cache helpers inside the command function to keep CLI startup fast (sub-app registration in
app.pyuses# noqa: E402deliberately). - cyclopts idioms. Sub-apps declare aliases via
name=["module", "modules"]; subcommands via@app.command(name="list", alias="ls"); short flags viaAnnotated[str, Parameter(alias="-p")]. Numpydoc parameter docstrings become--helptext.
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.
- yesterday First seen · 69 lines · 1,512 tokens per session scan A 6381530750fa
plane-cli AGENTS.md is an instructions file published in the GitHub repository cpatrickalves/plane-cli (20 stars, last pushed 14d ago), licensed MIT. It adds 1,512 tokens to every session, about $0.0076 per session on Opus 5. A static security scan graded it A with 1 finding (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
uv AGENTS.md
AGENTS.md instructions for astral-sh/uv, a project described as: An extremely fast Python package and project manager, written in Rust.
librosa AGENTS.md
Instructions for librosa/librosa, covering agent interaction policy for librosa, 1. automated platform interactions, 2. exception for project-authorized automation and 3. machine-readable directive.
uv CLAUDE.md
Claude Code instructions for astral-sh/uv, a project described as: An extremely fast Python package and project manager, written in Rust.
agents
Always-loaded project anchor. Read this first. Contains project identity, non-negotiables, commands, and pointer to .mex/ROUTER.md for full context. Use GitNexus MCP tools for all structural and impact analysis.
agents
Always-loaded project anchor. Read this first. Contains project identity, non-negotiables, commands, and pointer to ROUTER.md for full context.
PyLOB CLAUDE.md
Claude Code instructions for DrAshBooth/PyLOB, covering planning, definition of done, decision records and issue tracking.