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/faviovazquez/mollify/gemini-mdgit clone --depth 1 https://github.com/FavioVazquez/mollifyWrote 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.
[](https://agentmods.dev/instructions/faviovazquez/mollify/gemini-md)<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>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 | $0.01456 | $0.01456 |
| Opus 5 | $0.00728 | $0.00728 |
| Sonnet 5 | $0.00291 | $0.00291 |
| Haiku 4.5 | $0.00146 | $0.00146 |
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.
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(aliascheck),mollify deps,mollify arch,mollify complexity(aliashealth),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'sexclude_dirs, or.gitignore.mollify graphaccepts--mermaid. Use--format jsonto consume structured output.--gate new-onlyand--format sarifare fully implemented.
- Analysis:
- Trust the deterministic findings. Each finding carries a
confidencetier (certain|likely|uncertain), a humanreason, a stablefingerprint, aseverity(error|warn|off), and alocation {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);auditalso includes aquality_score(0–100). Iteratefindings[](exceptmetrics, which carriesfiles/totals). Thesupply-chaincommand's results come back under thesecuritykind asvulnerable-dependencyfindings. - Auto-act ONLY on
confidence: certain(and only where an action isauto_fixable: true). Surfacelikely/uncertainfindings 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-baselinewrite failure, or--fail-on-regressionwith a missing/invalid--baseline);2= usage error (nonexistent--path, or an unsupported--formatfor the subcommand).
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.
- 5d ago First seen · 75 lines · 1,456 tokens per session scan A 08e4bf160f84
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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