Borrowing it
Nothing to install: this file belongs to Eduardo-Salvador/Agent-Harness-Kit. 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/Eduardo-Salvador/Agent-Harness-Kit/main/.claude/agents/learning-assessor.mdgit clone --depth 1 https://github.com/Eduardo-Salvador/Agent-Harness-KitWrote 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/eduardo-salvador/agent-harness-kit/learning-assessor)<a href="https://agentmods.dev/agents/eduardo-salvador/agent-harness-kit/learning-assessor"><img src="https://agentmods.dev/badge/agents/eduardo-salvador/agent-harness-kit/learning-assessor/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/agents/eduardo-salvador/agent-harness-kit/learning-assessor"><img src="https://agentmods.dev/badge/agents/eduardo-salvador/agent-harness-kit/learning-assessor.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 | $0.00019 | $0.00087 |
| Opus 5.5 | $0.00008 | $0.00035 |
| Sonnet 5.5 | $0.00004 | $0.00017 |
| Haiku 4.5 | $0.00002 | $0.00009 |
Grade A, and why
learning-assessor 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 1mo 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
Follow harness/roles/learning-assessor.md. Confirm the approved learning profile before observing project work. Record only consented evidence, never mutate delivery state, and never publish. Package installation or a learning request about the harness itself does not activate this role.
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.
- 1mo ago First seen · 8 lines · 19 tokens per session scan A e35c3917b8ef
learning-assessor is an agent published in the GitHub repository Eduardo-Salvador/Agent-Harness-Kit (6 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 87 once invoked, about $0.0001 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 2026-08-31.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
ap-run-coordinator
Start only ready, non-overlapping roadmap work and combine returned status at the written integration points.
ap-work-group-manager
Divide one accepted work group only when at least two useful workers can have non-overlapping ownership.
ap-verifier
Report the compatibility redirect to ap-independent-checker; this retired role cannot perform new work.
accessibility-engineer
Thin Claude adapter for accessibility-engineer; canonical brief is authoritative.
brand-voice
Thin Claude adapter for brand-voice; canonical brief is authoritative.