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 kryptobaseddev/cleo --skill ct-gradegit clone --depth 1 https://github.com/kryptobaseddev/cleoWrote 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/kryptobaseddev/cleo/ct-grade)<a href="https://agentmods.dev/skills/kryptobaseddev/cleo/ct-grade"><img src="https://agentmods.dev/badge/skills/kryptobaseddev/cleo/ct-grade/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/kryptobaseddev/cleo/ct-grade"><img src="https://agentmods.dev/badge/skills/kryptobaseddev/cleo/ct-grade.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 | $0.00188 | $0.02039 |
| Opus 5.5 | $0.00075 | $0.00816 |
| Sonnet 5.5 | $0.00038 | $0.00408 |
| Haiku 4.5 | $0.00019 | $0.00204 |
Grade A, and why
ct-grade 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 21d 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 — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Session Grading Guide
Session grading evaluates agent behavioral patterns against the CLEO protocol. It reads the audit log for a completed session and applies a 5-dimension rubric to produce a score (0-100), letter grade (A-F), and diagnostic flags.
When to Use Grade Mode
Use grading when you need to:
- Evaluate how well an agent followed CLEO protocol during a session
- Identify behavioral anti-patterns (skipped discovery, missing session.end, etc.)
- Track improvement over time across multiple sessions
- Validate that orchestrated subagents followed protocol
Grading requires audit data. Sessions must be started with the --grade flag to enable audit log capture.
Starting a Grade Session
CLI
# Start a session with grading enabled
ct session start --scope epic:T001 --name "Feature work" --grade
# The --grade flag enables detailed audit logging
# All CLI operations are recorded for later analysis
Running Scenarios
The grading rubric evaluates 5 behavioral scenarios that map to protocol compliance:
1. Fresh Discovery
Tests whether the agent checks existing sessions and tasks before starting work. Evaluates session.list and tasks.find calls at session start.
2. Task Hygiene
Tests whether task creation follows protocol: descriptions provided, parent existence verified before subtask creation, no duplicate tasks.
3. Error Recovery
Tests whether the agent handles errors correctly: follows up E_NOT_FOUND with recovery lookups (tasks.find), avoids duplicate creates after failures.
4. Full Lifecycle
Tests session discipline end-to-end: session listed before task ops, session properly ended, CLI usage patterns.
5. Multi-Domain Analysis
Tests progressive disclosure: use of admin.help or skill lookups, use of progressive disclosure for programmatic access.
Evaluating Results
CLI
# Grade a specific session
ct grade <sessionId>
# List all past grade results
ct grade --list
Understanding the 5 Dimensions
What ships with it
25 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/analysis-reporter.md 6.0 KB
- agents/blind-comparator.md 4.8 KB
- agents/scenario-runner.md 3.8 KB
- eval-viewer/__pycache__/generate_grade_review.cpython-314.pyc 56 KB
- eval-viewer/generate_grade_review.py 44 KB runs code
- eval-viewer/generate_grade_viewer.py 23 KB runs code
- eval-viewer/generate_review.py 9.7 KB runs code
- eval-viewer/grade-review.html 77 KB
- eval-viewer/viewer.html 11 KB
- evals/evals.json 4.8 KB
- references/ab-test-methodology.md 5.4 KB
- references/domains.md 4.2 KB
- references/grade-spec.md 7.0 KB
- references/scenario-playbook.md 6.0 KB
- references/token-tracking.md 6.2 KB
- scripts/__pycache__/audit_analyzer.cpython-314.pyc 15 KB
- scripts/__pycache__/run_ab_test.cpython-314.pyc 22 KB
- scripts/__pycache__/run_all.cpython-314.pyc 12 KB
- scripts/__pycache__/token_tracker.cpython-314.pyc 26 KB
- scripts/audit_analyzer.py 9.0 KB runs code
- scripts/generate_report.py 10 KB runs code
- scripts/run_ab_test.py 19 KB runs code
- scripts/run_all.py 8.9 KB runs code
- scripts/setup_run.py 6.6 KB runs code
- scripts/token_tracker.py 20 KB runs code
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.
- 21d ago Changed · -1 lines ba507fb36975
- 22d ago Changed · +4 lines 8d18c88786a8
- 1mo ago First seen · 211 lines · 188 tokens per session scan A 1cdbd30e8f98
ct-grade is a skill published in the GitHub repository kryptobaseddev/cleo (159 stars, last pushed yesterday), licensed MIT. It adds 188 tokens to every session and 2,039 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-09-03.
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