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/.agents/skills/project-learning/SKILL.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/skills/eduardo-salvador/agent-harness-kit/project-learning)<a href="https://agentmods.dev/skills/eduardo-salvador/agent-harness-kit/project-learning"><img src="https://agentmods.dev/badge/skills/eduardo-salvador/agent-harness-kit/project-learning/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/eduardo-salvador/agent-harness-kit/project-learning"><img src="https://agentmods.dev/badge/skills/eduardo-salvador/agent-harness-kit/project-learning.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 | $0.00042 | $0.00229 |
| Opus 5.5 | $0.00017 | $0.00092 |
| Sonnet 5.5 | $0.00008 | $0.00046 |
| Haiku 4.5 | $0.00004 | $0.00023 |
Grade A, and why
project-learning 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
Project learning
An explicit learning request starts configuration; it is not evidence that configuration already exists. Follow ../../../harness/playbooks/learning-capture-publication.md. Reuse an approved learning profile when current; otherwise ask for the missing goals, observation boundary, and exact note destination. Destination confirmation is mandatory before activation or any note write: do not create files/folders, mark a profile active, or choose docs/, repository Markdown, Obsidian, Notion, or another fallback on the user's behalf. For Notion or another remote system, ask which connector/MCP and exact page/database to use, then verify capability. Record only the approved configuration and never credentials. Package selection is not consent. Never mutate or block the delivery graph. Public sharing and consequential retention changes require human approval. Do not load learning-pack/ unless the user separately asks to study harness engineering.
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 · 9 lines · 42 tokens per session scan A a054e641c569
project-learning is a skill published in the GitHub repository Eduardo-Salvador/Agent-Harness-Kit (6 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 229 once invoked, about $0.0002 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.
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