What is review-maple-security?

A set of instructions for reviewing security in Maple, an open-source desktop client for OpenSecret. It covers the client’s authentication, data storage, local communication, permissions, integrations, streaming, secrets, and logs.

Use it for security audits, threat modeling, reviewing a code diff, evaluating a proposed security design, or checking whether an implemented security fix works.

It provides a structured way to find security risks in current code and separate user consent, safety containment, policy, and server-side authorization. The review is read-only unless a separate change is requested.

How OpenSecretCloud/Maple configures Codex

Reuse

Borrowing it

Nothing to install: this file belongs to OpenSecretCloud/Maple. 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/OpenSecretCloud/Maple/master/.agents/skills/review-maple-security/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/OpenSecretCloud/Maple

Made for: Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/opensecretcloud/maple/review-maple-security/github.svg)](https://agentmods.dev/skills/opensecretcloud/maple/review-maple-security)

Your own site

<a href="https://agentmods.dev/skills/opensecretcloud/maple/review-maple-security"><img src="https://agentmods.dev/badge/skills/opensecretcloud/maple/review-maple-security/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/opensecretcloud/maple/review-maple-security"><img src="https://agentmods.dev/badge/skills/opensecretcloud/maple/review-maple-security.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 5,422 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 3 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Privilege Escalation · line 65
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
high Privilege Escalation · line 271
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
low Privilege Escalation · line 372
Skill requests more permissions than appear necessary for its stated functionality. Review if elevated access is justified.

Fix: Request only the minimum permissions required. Document why each permission is needed. Remove broad permissions like '*' or 'all'.

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00074	$0.05422
Opus 5.5	$0.00030	$0.02169
Sonnet 5.5	$0.00015	$0.01084
Haiku 4.5	$0.00007	$0.00542

Measured 2mo ago against content hash b39c51e0bc3b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-maple-security 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 2mo 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/skills/review-maple-security/SKILL.md · 392 lines

How it starts

The opening of the file, as written. The whole thing — 392 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Maple Security

Review the current source, not remembered findings. Separate policy, consent, containment, and server authorization. Treat Maple as an open-source client of OpenSecret; discuss billing and feature flags only through their public API/configuration contracts.

Default to read-only investigation when asked to review, audit, diagnose, or threat-model. Do not implement, commit, push, open issues, or make incident claims unless the user separately authorizes the relevant action and the evidence supports it.

Establish the Review Baseline

Read AGENTS.md, the requested diff or files, nearby tests, and applicable docs.
Record git status --short --branch, git rev-parse HEAD, the comparison base, and whether the checkout has unrelated changes. Never clean or rewrite them.
Re-check current command and dependency sources: justfile, frontend/package.json, frontend/src-tauri/Cargo.toml, lockfiles, scripts/ci/, and .github/workflows/.
Identify whether the request is:
- a read-only audit of current behavior;
- a review of a bounded diff;
- a proposed security design; or
- validation of an implemented fix.
State the assets, attacker position, trust boundaries, and deployment assumptions before assigning severity.

Do not infer deployment state from repository source. Do not infer runtime behavior from a passing build. Do not infer authorization from hidden UI or a feature flag.

Use an Evidence Taxonomy

Label every material claim with the strongest evidence actually obtained:

Source-confirmed: current checked-out code directly implements the behavior.
Test-confirmed: a focused or full automated test exercised the behavior.
Runtime-confirmed: the exact web or native application demonstrated it locally.
Deployment-confirmed: the relevant deployed service, policy, or artifact was inspected.
Inferred risk: the consequence follows from confirmed primitives, but the full exploit path was not demonstrated.
Unverified: a required dependency, platform, deployment, or attacker precondition was not inspected.

Read the full file on GitHub · 392 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

agents/openai.yaml 212 B

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.

2mo ago First seen · 392 lines · 74 tokens per session scan A b39c51e0bc3b

Subscribe to this mod's changes

review-maple-security is a skill published in the GitHub repository OpenSecretCloud/Maple (92 stars, last pushed 2mo ago), licensed MIT. It adds 74 tokens to every session and 5,422 once invoked, about $0.0003 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.