plant-genomics-mcp: Instructions file for Claude Code

CLAUDE.md

plant-genomics-mcp CLAUDE.md is an instructions file for Claude Code from musharna/plant-genomics-mcp. It costs 1,064 tokens per session, scanned A, original, MIT.

Repository instructions for the plant-genomics-mcp project, defining how code changes, tests, constraints, and reports must be handled. It requires an observable outcome and an acceptance command before coding.

In plain words
What is it for?
Use it as the working contract when modifying this repository, especially for defining acceptance checks, recording constraints, and validating tests against broken and working behaviour.
Why use it?
Without explicit outcomes and meaningful tests, changes may appear complete while failing to prove the intended behaviour. These rules also require tests to demonstrate that they catch the stated defect.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md.

This is musharna/plant-genomics-mcp's own configuration. It tells Claude Code how to work on plant-genomics-mcp 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 plant-genomics-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to musharna/plant-genomics-mcp. 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/musharna/plant-genomics-mcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/musharna/plant-genomics-mcp

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 1,064 This file is loaded in full into every session.
When invoked 1,064 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 $0.01064 $0.01064
Opus 5.5 $0.00426 $0.00426
Sonnet 5.5 $0.00213 $0.00213
Haiku 4.5 $0.00106 $0.00106

Measured 17d ago against content hash d3eb7bb24da7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plant-genomics-mcp CLAUDE.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 17d 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.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

CLAUDE.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

The bar for code in this repo

Most code here is machine-written. It is held to a HIGHER bar than hand-written code, not a lower one. This file is the contract; CI and the pre-commit hooks are its enforcement. Read it before writing anything.

1. Before code: outcome and constraints, in writing

State, in the PR description or the issue, before the first line of code:

  • Outcome: the observable behaviour that will exist when this is done.
  • Acceptance check: the command whose exit status decides done. If no such command exists yet, writing it is the first task.
  • Constraints: what must not change (public API, file formats, data on disk, runtime budget), and what is out of scope.
  • Risk and revert: what breaks if this is wrong, what would notice, and what undoing it takes beyond git revert (a release, data, a migration).

Ambiguity is a stop sign. Ask; do not pick the most likely reading.

2. A test is worth only what it can fail on

Every test ships with three controls:

  1. Seen to fail: run it against the broken state and confirm it fails FOR THE STATED REASON. A security test that asserts "some exception was raised" passes on vulnerable code too.
  2. Positive control: a negative assertion (error raised, input rejected) lives in the same test as the assertion that the legitimate path succeeds.
  3. Real execution at every system boundary: code that talks to a registry, a CLI, the network or another process's file layout gets at least one check that drives the real thing, not only a fixture.

A fixture encodes your belief; it cannot fail on that belief. A wall-clock budget cannot tell a slow host from a broken test. A surviving mutant (nightly-guardrails.yml) is the coverage report.

3. House rules (enforced; see .pre-commit-config.yaml)

Each rule is an incident, not a preference:

  • x.replace(a, b) with the result discarded is a silent no-op.
  • pytest.raises(Exception) cannot tell a wrapped error from a leaked one.
  • except ParseError with defusedxml imported lets the attack path escape.
  • # nosec names the test id AND a traced reason.
  • No nested lazy quantifiers; no nohup ... &; no text-transform: uppercase over unit strings; no absolute developer-machine paths.
  • No fixed sleep before a click, focus, hover or key press in a browser test: wait for the state the sleep stood in for. In Python, Playwright's wait_for_timeout is never the wait, before an interaction or a measurement.
  • A Claude --allowed-tools file rule with a path is Edit(path), never Write(path) (matches nothing); an absolute path takes two slashes (//tmp/**).
  • A workflow uses: pins a full commit SHA with the version as a comment, never a tag.
  • A trailing # pragma: no mutate ends a one-line statement; inside brackets or after a multi-line statement mutmut ignores it. Wrap lines in start / end.

Read the full file on GitHub · 85 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. 17d ago Changed · +2 lines · +41 tokens per session d3eb7bb24da7
  2. 18d ago Changed · +6 lines · +102 tokens per session 3b497a19042d
  3. 19d ago Changed · +2 lines · +47 tokens per session 81e43401c1c8
  4. 1mo ago Changed · +4 lines · +74 tokens per session 3675f69ff68d
  5. 1mo ago Changed · -20 lines · -455 tokens per session be9105e9d4ad
  6. 1mo ago Changed · +25 lines · +510 tokens per session 34181519f295
  7. 1mo ago First seen · 66 lines · 745 tokens per session scan A c230ea667c5f

Subscribe to this mod's changes

plant-genomics-mcp CLAUDE.md is an instructions file published in the GitHub repository musharna/plant-genomics-mcp (8 stars, last pushed 6d ago), licensed MIT. It adds 1,064 tokens to every session, about $0.0043 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 2026-09-14.

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