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 skills add future-architect/uzomuzo-oss --skill diet-assess-riskgit clone --depth 1 https://github.com/future-architect/uzomuzo-ossWrote 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/skills/future-architect/uzomuzo-oss/diet-assess-risk)<a href="https://agentmods.dev/skills/future-architect/uzomuzo-oss/diet-assess-risk"><img src="https://agentmods.dev/badge/skills/future-architect/uzomuzo-oss/diet-assess-risk/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/skills/future-architect/uzomuzo-oss/diet-assess-risk"><img src="https://agentmods.dev/badge/skills/future-architect/uzomuzo-oss/diet-assess-risk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00020 | $0.04567 |
| Opus 5 | $0.00010 | $0.02284 |
| Sonnet 5 | $0.00004 | $0.00913 |
| Haiku 4.5 | $0.00002 | $0.00457 |
Grade A, and why
diet-assess-risk 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 10d 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 — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Diet Risk Assessment: $ARGUMENTS
Analyze the security risk of keeping a dependency identified by uzomuzo diet. This command performs deep data-flow analysis that diet's automated scoring cannot do.
When to use: After uzomuzo diet flags a dependency as EOL/Stalled/Archived with non-trivial source coupling. Trivial (0 imports) dependencies don't need this -- just remove them.
Relationship to diet skills:
uzomuzo diettells you what to remove and how hard (automated, broad)/diet-assess-risktells you how dangerous it is to keep (LLM-powered, deep) -- this skill/diet-evaluate-removaltells you whether removal is worth it and how to replace (LLM-powered, per-dep)/diet-removeexecutes the removal (issue or PR)
Do NOT assess replacement options or removal feasibility here -- that is /diet-evaluate-removal's job. This skill answers one question: "If we keep this dependency unchanged for the next 12 months, what is the realistic security exposure?"
Phase 0: Input normalization
Determine input mode and normalize to a diet entry before analysis.
Mode A: Diet JSON available
Extract the target dependency's entry from the diet JSON:
uzomuzo diet --sbom bom.json --source . --format json | jq '.dependencies[] | select(.name == "TARGET")'
Or read from a saved diet JSON file. All fields are available.
Mode B: PURL only (no diet JSON)
Run uzomuzo scan <purl> to get health signals. Mark coupling fields (import_file_count, call_site_count, api_breadth, symbols, import_files) as "unavailable". Proceed with Phase 1 Steps 1-2 and Phase 3 only. Skip Phase 1 Steps 3-4 (no coupling data to filter) and Phase 2 (no source code). When classifying threat profile in Step 2, treat absent import_file_count as "assume > 0" (conservative — do not default to SUPPLY-CHAIN-ONLY). In the verdict, omit the "Security-relevant coupling" line and note "Source coupling data unavailable" in Limitations.
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.
- 10d ago First seen · 315 lines · 20 tokens per session scan A 9d6f368c9594
diet-assess-risk is a skill published in the GitHub repository future-architect/uzomuzo-oss (32 stars, last pushed 4d ago), licensed Apache-2.0. It adds 20 tokens to every session and 4,567 once invoked, about $0.0001 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 2026-09-01.
Other skills, from other repositories
dd-code-generation
Use pup CLI for immediate Datadog operations or generate code for integration into applications.
implementing-supply-chain-security-with-in-toto
Implement software supply chain integrity verification for container builds using the in-toto framework to create cryptographically signed attestations across CI/CD pipeline steps.
write-zot-themes
Help the user create, install, or package zot themes, including theme-only extensions.
gograph
Go repository intelligence for Claude Code. Use when reading, navigating, editing, reviewing, or refactoring a Go codebase. Exposes 64 query, analysis, and workflow capabilities through the local gograph MCP server, including bounded first-call exploration, AST-aware call graphs, blast-radius analysis, impact, and…
bubbletea-testing
Use this skill whenever writing tests for Bubble Tea (charmbracelet/bubbletea) TUI applications in Go. Triggers include any mention of testing Bubble Tea models, teatest, golden file testing for TUIs, testing tea.Cmd or tea.Msg, snapshot testing terminal output, or writing tests for any Go CLI/TUI that uses the Elm…
pi-loop-forensics
Diagnose pi-go agent loops and degenerate turns — "agent loop aborted", runaway thinking with no tool calls, repeated phrases. Discriminates genuine model repetition collapse from a race, a tool-parse failure, or a too-low guard, and A/B replays a seed session across providers.