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agent-ebpf: Instructions file for Claude Code

v2/.github/instructions/skill-feedback-adaptation.instructions.md

skill-feedback-adaptation is an instructions file for Claude Code, GitHub Copilot from ourobx/agent-ebpf. It costs 2,240 tokens per session, scanned C, original, MIT.

Instructions for adapting proposed skills based on the current task and user feedback. A skill is a reusable set of instructions that guides an agent through a type of work.

In plain words
What is it for?
Use it when starting a task, checking proposed skills, updating proposal files, or recording user feedback about those choices.
Why use it?
It helps the agent choose more relevant guidance and record when users disagree with skill-driven behavior.

Instructions file for Claude CodeGitHub Copilot

Written for Claude Code and GitHub Copilot: SessionStart hook event, but also a Copilot instructions file. Also seen: reads .claude/ paths; mentions Claude Code.

This is ourobx/agent-ebpf's own configuration. It tells Claude Code and GitHub Copilot how to work on agent-ebpf itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agent-ebpf configures →

not rated 1repo changed 1mo ago C scan 2,240 tokens original MIT
View source ↗ ourobx/agent-ebpf ksec.space
Reuse

Borrowing it

Nothing to install: this file belongs to ourobx/agent-ebpf. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ourobx/agent-ebpf/main/v2/.github/instructions/skill-feedback-adaptation.instructions.md
Clone the repo
git clone --depth 1 https://github.com/ourobx/agent-ebpf

Made for: Claude Code, GitHub Copilot.

Wrote 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.

agentmods badge for skill-feedback-adaptation

README.md
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Your own site
<a href="https://agentmods.dev/instructions/ourobx/agent-ebpf/skill-feedback-adaptation"><img src="https://agentmods.dev/badge/instructions/ourobx/agent-ebpf/skill-feedback-adaptation/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.

agentmods 80×15 button for skill-feedback-adaptation

Your own site · 80×15
<a href="https://agentmods.dev/instructions/ourobx/agent-ebpf/skill-feedback-adaptation"><img src="https://agentmods.dev/badge/instructions/ourobx/agent-ebpf/skill-feedback-adaptation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 2,240 This file is loaded in full into every session.
When invoked 2,240 The same file — it is already loaded in full.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.02240 $0.02240
Opus 5.5 $0.00896 $0.00896
Sonnet 5.5 $0.00448 $0.00448
Haiku 4.5 $0.00224 $0.00224

Measured 1mo ago against content hash 948393a98e12, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

skill-feedback-adaptation scanned grade C with 1 finding 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.

Hidden instructionshighPrompt injection

Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.

<!-- Copilot Instruction Telemetry: This file was auto-generated by Claude Skills Manager -->
v2/.github/instructions/skill-feedback-adaptation.instructions.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

skill-feedback-adaptation

Skill Feedback Adaptation

Track when users push back on agent answers or skill-driven behavior, surface inefficiency in the Usage Report dashboard, and propose skills when a new task starts.

AUTO-START (new session / new task)

Run immediately — before any other task work — when any of these is true:

  • Session hook injects [Claude Skills] NEW SESSION (Claude Code SessionStart, Cursor sessionStart, Kiro sessionStart, Copilot SessionStart via profile-init-watch.js).
  • User opens a new chat or describes a new task (feature, bug, review, assessment) in their first message.
  • User asks which skills fit the current task.

Do this first:

  1. Read this skill (you are here).
  2. Check .claude/learning/task-skill-proposals.json — if generatedAt is <24h old and claudeSkills.features.deterministicTaskProposals is on (default), the extension already refreshed proposals and auto-applied skills. Skip section 3 unless the user starts a clearly new task.
  3. Otherwise run section 3 — overwrite proposals for the user's actual task.
  4. Do not read top SKILL.md files when auto-apply already enabled them — only read a skill when the task needs guidance you lack.

Do not skip step 2 when proposals already exist on disk.

Storage layout

.claude/learning/
  skill-feedback.jsonl       append-only negative/correction feedback (gitignore)
  task-skill-proposals.json  latest task → skill proposal set (gitignore)
  task-active-skills.json    active + ignored skill lists for task focus (gitignore)
  task-drift-reproposal.json last automatic drift refresh state (gitignore)
  task-drift-prompt.json     one-shot agent inject payload for task-drift-watch hook (gitignore)

Both files are machine-local (same as runs.jsonl). Do not commit them.

Read the full file on GitHub · 204 lines

Changes

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.

  1. 1mo ago Changed 6a72d103dac3
  2. 1mo ago Changed 948393a98e12
  3. 1mo ago Changed 2490d9becc21
  4. 1mo ago First seen · 204 lines · 2,240 tokens per session scan C 729aabf729af

Subscribe to this mod's changes

skill-feedback-adaptation is an instructions file published in the GitHub repository ourobx/agent-ebpf (1 stars, last pushed 9d ago), licensed MIT. It adds 2,240 tokens to every session, about $0.0090 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Building agentsaiai-agentsfirewallkernel-modulekernel-module-developmentkernel-module-programming
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