Borrowing it
Nothing to install: this file belongs to attunehq/nudge. 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/attunehq/nudge/main/.agents/skills/nudge-learnings/SKILL.mdgit clone --depth 1 https://github.com/attunehq/nudgeWrote 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/attunehq/nudge/nudge-learnings)<a href="https://agentmods.dev/skills/attunehq/nudge/nudge-learnings"><img src="https://agentmods.dev/badge/skills/attunehq/nudge/nudge-learnings/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/attunehq/nudge/nudge-learnings"><img src="https://agentmods.dev/badge/skills/attunehq/nudge/nudge-learnings.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 | $0.00036 | $0.00554 |
| Opus 5 | $0.00018 | $0.00277 |
| Sonnet 5 | $0.00007 | $0.00111 |
| Haiku 4.5 | $0.00004 | $0.00055 |
Grade A, and why
nudge-learnings 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 9d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nudge Learnings
Purpose
Nudge learnings are repo-local debugging memory, not broad agent memory. They live in Git with the repo, so each branch or worktree only sees the notes present in that checkout. Use this skill proactively when a repo-specific failure might already have a recorded fix, and after solving a durable repo-specific issue that future agents should not rediscover.
When to use
- You are debugging a failing command, test, build, integration, dependency,
local environment, or toolchain behavior in a repo with
.nudge/learned. - Nudge surfaces learned repo context.
- The user asks to search, list, record, or update Nudge learnings.
- You fixed a repo-specific issue that another agent could plausibly hit again.
Do not record generic programming advice, broad personal preferences, secrets, credentials, or one-off observations that are unlikely to recur.
Workflow
- If
.nudge/learnedexists, search before deep investigation:- Use concrete symptoms, command names, package names, paths, tools, and copied error fragments.
- Prefer several focused searches over one vague query.
- If no learning matches, continue normal debugging.
- If Nudge already surfaced a note, read the cited
.nudge/learned/*.mdfile. - Apply a note only when its symptoms, environment, and fix match the current task. If it does not match, say why and keep investigating.
- After fixing a durable repo-specific issue, record a concise note with
nudge learn addand verify it withnudge learn searchornudge learn list.
Commands
nudge learn search "exact error text package command"
nudge learn list
nudge learn add --title "Short specific title" --body "What went wrong..."
nudge learn embeddings status
Note Shape
# Short specific title
## What went wrong
Name the command, tool, package, path, error, and symptoms.
## Fix
Give the exact fix and caveats.
## Verification
State the command or observation that proved the fix worked.
What ships with it
3 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.
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.
- 9d ago First seen · 73 lines · 36 tokens per session scan A b6576a9eeb35
nudge-learnings is a skill published in the GitHub repository attunehq/nudge (82 stars, last pushed 23d ago), licensed Apache-2.0. It adds 36 tokens to every session and 554 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
mem0-status
Diagnoses mem0 connectivity, API key validity, and memory read/write functionality. Use when memory operations fail, searches return empty, addmemory errors occur, or to verify the plugin is working correctly.
inspector-workbench
Runs Inspector UI work on the standalone Threads state lab so the agent can see the overlay. Use when a CopilotKit employee asks an agent to fix, polish, add, or debug Inspector UI, chrome, panes, overlay actions, launcher, Home, Threads, Playground, Memory, or any visual behavior in @copilotkit/web-inspector. Don't…
md-audit
Read-only code quality audit — scan the current working directory for common issues (bugs, dead code, security hotspots, missing error handling) and return a prioritised findings report. No files are edited. Use when asked to "audit the code", "quick audit", "find issues", "code scan", or "what's wrong with this…
potpie-debug-memory
Use while debugging or troubleshooting failures, flaky tests, incidents, production alerts, CI failures, local dev setup issues, repeated bugs, prior fixes, failed attempts, and verification history.
browserwing-admin
Manage and operate BrowserWing — an intelligent browser automation platform. Install dependencies, configure LLM, create/manage/execute automation scripts, use AI-driven exploration to generate scripts, browse the script marketplace, and troubleshoot issues.
exploiting-linux-kernel-vulnerabilities
Methodology for discovering and exploiting Linux kernel memory-corruption vulnerabilities (UAF, OOB read/write, race/TOCTOU, type confusion) during authorized engagements, covering reachability analysis, building stable read/write primitives from a single bug, defeating KASLR/SMEP/SMAP/KPTI, slab/buddy heap grooming…