mollify GEMINI.md

mollify GEMINI.md is an instructions file for Gemini CLI from FavioVazquez/mollify. It costs 1,456 tokens per session, scanned A, original, MIT.

Project memory for Mollify, a Rust command-line tool and MCP server that analyses Python code. It lists its analysis commands and explains that its findings should be treated as the source of truth for code and dependency questions.

In plain words
What is it for?
Use it to audit Python projects, inspect code, trace modules, review dependencies, check security and architecture, generate graphs, or run Mollify through its MCP server.
Why use it?
It helps agents choose the project’s built-in analysis instead of relying on guesses or manual searches.

Instructions file for Gemini CLI

Install

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.

agentmods
npx agentmods add instructions/faviovazquez/mollify/gemini-md
Clone the repo
git clone --depth 1 https://github.com/FavioVazquez/mollify

Made for: Gemini CLI.

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.

agentmods badge for mollify GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/faviovazquez/mollify/gemini-md.svg)](https://agentmods.dev/instructions/faviovazquez/mollify/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/faviovazquez/mollify/gemini-md"><img src="https://agentmods.dev/badge/instructions/faviovazquez/mollify/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,456 This file is loaded in full into every session.
When invoked 1,456 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.01456 $0.01456
Opus 5 $0.00728 $0.00728
Sonnet 5 $0.00291 $0.00291
Haiku 4.5 $0.00146 $0.00146

Measured 5d ago against content hash 08e4bf160f84, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mollify GEMINI.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 5d 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.

GEMINI.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project memory

Codebase intelligence (Mollify)

This repo ships Mollify, a deterministic, Rust-native Python code-intelligence CLI (the mollify binary on PATH) plus an MCP server (mollify mcp). Treat it as the source of truth for Python dead code and dependency hygiene — prefer it over grep or manual scanning when judging whether code is used, what is safe to delete, or whether dependencies are unused/missing.

  • Prefer Mollify over grep for reachability/usage and dependency questions.
  • Run /mollify:audit, or call the CLI directly. The CLI has 21 commands:
    • Analysis: mollify audit, mollify dead-code (alias check), mollify deps, mollify arch, mollify complexity (alias health), mollify dupes, mollify types, mollify security, mollify coverage --coverage-file <f>, mollify supply-chain [--offline|--refresh|--advisory-db <f>] (live OSV by default; offline DB fallback).
    • Actions/utilities: mollify fix [--apply], mollify explain [<rule>], mollify trace <module>, mollify inspect <file>, mollify metrics, mollify graph [--mermaid], mollify list [entry-points|files|frameworks], mollify watch [--interval-ms] (CLI-only), mollify init, mollify mcp, mollify lsp (CLI-only stdio Language Server; real-time diagnostics on open/save).
    • Analysis commands accept --path <dir>, --format human|json|sarif|github|junit (github = GitHub Actions annotations, junit = JUnit XML), --gate all|new-only, --base <ref>, --save-baseline <f>, --baseline <f>, --fail-on-regression, --brief, --min-confidence certain|likely|uncertain, and --include <dir> (repeatable) to scan a directory despite the builtin exclude list, .mollifyrc.json's exclude_dirs, or .gitignore. mollify graph accepts --mermaid. Use --format json to consume structured output. --gate new-only and --format sarif are fully implemented.
  • Trust the deterministic findings. Each finding carries a confidence tier (certain | likely | uncertain), a human reason, a stable fingerprint, a severity (error | warn | off), and a location {path, line, end_line}. Rules: unused-file, unused-export, unused-import, unused-variable, unused-parameter, unused-method, unused-attribute, unused-enum-member, unreachable-code, commented-code, unused-dependency, missing-dependency, transitive-dependency, misplaced-dev-dependency, unresolved-import, duplicate-export, private-import, circular-dependency, layer-violation, forbidden-import, independence-violation, high-complexity, duplication, untyped-function, private-type-leak, cold-code, hotspot, low-cohesion, dangerous-eval, subprocess-shell-true, sql-injection, unsafe-yaml-load, unsafe-deserialization, tls-verify-disabled, hardcoded-secret, weak-hash, weak-cipher, insecure-random, request-without-timeout, flask-debug-true, jinja2-autoescape-false, try-except-pass, vulnerable-dependency, policy-violation, engine-panic (an isolated engine crash; the rest of the report is complete), plus custom policy ids. Categories: dead-code, dependency-hygiene, circular-dependency, complexity, architecture, duplication, type-health, security.
  • Read the JSON envelope by its top-level kind (audit | dead-code | deps | arch | complexity | dupes | types | security | coverage | metrics); audit also includes a quality_score (0–100). Iterate findings[] (except metrics, which carries files/totals). The supply-chain command's results come back under the security kind as vulnerable-dependency findings.
  • Auto-act ONLY on confidence: certain (and only where an action is auto_fixable: true). Surface likely/uncertain findings with their reason and let the user decide; never hand-delete code on a guess.
  • Exit codes: 0 = no error-severity findings; 1 = error-severity findings or a failed/misconfigured gate (--save-baseline write failure, or --fail-on-regression with a missing/invalid --baseline); 2 = usage error (nonexistent --path, or an unsupported --format for the subcommand).

Read the full file on GitHub · 75 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. 5d ago First seen · 75 lines · 1,456 tokens per session scan A 08e4bf160f84

Subscribe to this mod's changes

mollify GEMINI.md is an instructions file published in the GitHub repository FavioVazquez/mollify (6 stars, last pushed 1mo ago), licensed MIT. It adds 1,456 tokens to every session, about $0.0073 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 2026-08-31.

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