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 agents/uipath/skills/agent-grading-rubricgit clone --depth 1 https://github.com/UiPath/skillsWrote 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/agents/uipath/skills/agent-grading-rubric)<a href="https://agentmods.dev/agents/uipath/skills/agent-grading-rubric"><img src="https://agentmods.dev/badge/agents/uipath/skills/agent-grading-rubric.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 | $0.00000 | $0.02924 |
| Opus 5 | $0.00000 | $0.01462 |
| Sonnet 5 | $0.00000 | $0.00585 |
| Haiku 4.5 | $0.00000 | $0.00292 |
Grade A, and why
agent-grading-rubric 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Review — Letter Grade (A–F)
How the review computes the letter grade for agent projects (low-code agent.json and coded main.py). Run this in Step 4.5, after agent validation (Step 2), the review CLI + judgment catalog (Step 2.5), and manual review (Step 3) — the grade is a function of those outputs, never a fresh judgment.
Scope: agents only, matching the skill's phase-1 model (the Step 2.5 judgment catalog is agent-only today; RPA, flows, and coded apps are future phases). Do not grade non-agent projects with this rubric. When a solution mixes agents with other types, grade the agent projects and leave the others ungraded (note "grading: agents only, phase 1").
The grade has two sub-grades, computed independently, then gated:
Final grade = min(G_det, G_jud)
- G_det — deterministic sub-grade. Read it directly from the review CLI — do not recompute it.
uip agent review/uip codedagent reviewreturnsData.Grade, the grade it assigns to its own deterministic checks. That letter is G_det. - G_jud — non-deterministic sub-grade. Driven by the judgment findings: the format-specific agent judgment catalog read in Step 2.5b and the manual review in Step 3.
min() means an agent cannot earn an A from a clean CLI grade if the judgment findings are heavy (G_jud gates it down), and cannot earn an A from clean judgment if the CLI's deterministic grade is poor (G_det gates it down). The grade is bounded by the weaker dimension. Because min only ever lowers the CLI grade, the skill grade is always ≤ Data.Grade.
G_det — read it from the review CLI, never recompute
uip agent review / uip codedagent review runs the deterministic checks its registry ships (structural/schema gates, placeholder cross-refs, eval-set structure, guardrail configuration validity) and grades them. Read the grade from the JSON response and use it verbatim:
G_det = <response>.Data.Grade # e.g. "B"
The response also carries Data.Verdict (PASS/FAIL) and Data.Score; Data.Grade is the letter to use. It ships +/- modifiers (A+ … F) — collapse to the base letter (C+ → C) so both sub-grades share the five-letter scale.
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 · 156 lines · 0 tokens per session scan A 75ae32ee27ad
agent-grading-rubric is an agent published in the GitHub repository UiPath/skills (154 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,924 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 2026-08-30.
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