Borrowing it
Nothing to install: this file belongs to FavioVazquez/mollify. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/FavioVazquez/mollify/main/.cursor/commands/mollify-metrics.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/commands/faviovazquez/mollify/mollify-metrics)<a href="https://agentmods.dev/commands/faviovazquez/mollify/mollify-metrics"><img src="https://agentmods.dev/badge/commands/faviovazquez/mollify/mollify-metrics/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.
<a href="https://agentmods.dev/commands/faviovazquez/mollify/mollify-metrics"><img src="https://agentmods.dev/badge/commands/faviovazquez/mollify/mollify-metrics.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.00210 |
| Opus 5 | $0.00000 | $0.00105 |
| Sonnet 5 | $0.00000 | $0.00042 |
| Haiku 4.5 | $0.00000 | $0.00021 |
Grade A, and why
mollify-metrics 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 8d 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.
What it actually says
Report project-wide quantitative metrics with Mollify and summarize them. Mollify is a deterministic engine: metrics are computed, not estimated. You are the verifier.
Steps:
- Run
mollify metrics --format json(or call the mollify MCPmollify_metricstool). Add--path <dir>if a subproject was specified. - Summarize the headline numbers: total lines of code, file count, symbol count, the complexity distribution, and the per-category finding tallies.
- Call out any outliers (e.g. unusually large files, heavy complexity buckets) and tie them back to the relevant analysis command (
complexity,dupes,dead-code) the user could run next. - Do NOT modify any files — this is read-only reporting.
Notes:
metricsis a quantitative summary; for actionable findings runmollify auditor a specific engine.- All numbers are deterministic for a given input — identical input yields byte-identical output.
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.
- 8d ago First seen · 12 lines · 0 tokens per session scan A f1f595a09949
mollify-metrics is a command published in the GitHub repository FavioVazquez/mollify (6 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 210 tokens. 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.