measuring-ai-proficiency: Skill for Claude Code

.claude/skills/context-surfing/SKILL.md

context-surfing is a skill for Claude Code from pskoett/measuring-ai-proficiency. It costs 144 tokens per session (4,295 once invoked), scanned A, original, MIT.

A session-management method that helps a coding agent keep track of context while carrying out a task. It monitors whether the agent still has a clear understanding of the work and prepares a handoff when that clarity declines.

In plain words
What is it for?
Use it during execution after planning and before final review. It supports controlled handoffs when a task should continue in another session.
Why use it?
Long sessions can cause an agent to lose important details or start second-guessing earlier decisions. This helps preserve useful context through the work.

Skill for Claude Code

Written for Claude Code: SessionEnd hook event. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions Claude Code.

This is pskoett/measuring-ai-proficiency's own configuration. It tells Claude Code how to work on measuring-ai-proficiency 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 measuring-ai-proficiency configures →

Reuse

Borrowing it

Nothing to install: this file belongs to pskoett/measuring-ai-proficiency. 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/pskoett/measuring-ai-proficiency/main/.claude/skills/context-surfing/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/pskoett/measuring-ai-proficiency

Made for: Claude Code.

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 context-surfing

README.md
[![agentmods](https://agentmods.dev/badge/skills/pskoett/measuring-ai-proficiency/context-surfing/github.svg)](https://agentmods.dev/skills/pskoett/measuring-ai-proficiency/context-surfing)
Your own site
<a href="https://agentmods.dev/skills/pskoett/measuring-ai-proficiency/context-surfing"><img src="https://agentmods.dev/badge/skills/pskoett/measuring-ai-proficiency/context-surfing/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 context-surfing

Your own site · 80×15
<a href="https://agentmods.dev/skills/pskoett/measuring-ai-proficiency/context-surfing"><img src="https://agentmods.dev/badge/skills/pskoett/measuring-ai-proficiency/context-surfing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 144 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,295 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00144 $0.04295
Opus 5 $0.00072 $0.02148
Sonnet 5 $0.00029 $0.00859
Haiku 4.5 $0.00014 $0.00430

Measured 10d ago against content hash a985c4afdcce, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

context-surfing 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 10d 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.

.claude/skills/context-surfing/SKILL.md · 376 lines

How it starts

The opening of the file, as written. The whole thing — 376 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Context Surfing

Install

npx skills add pskoett/pskoett-ai-skills/skills/context-surfing

The agent rides the wave of peak context. When the wave crests, it commits. When it detects drift, it pulls out cleanly — saving state, handing off, and letting the next session catch the next wave.

No wipeouts. No zombie sessions. Only intentional, high-fidelity execution.


Mental Model

Think of context like an ocean wave:

  • Paddling in = loading the intent frame, plan, and initial context. Energy is building.
  • The peak = full context coherence. The agent knows exactly what it's doing and why. This is when to execute.
  • The shoulder = context starting to flatten. Still rideable, but output density is dropping.
  • The close-out = drift. Contradiction, hedging, second-guessing, or hallucinated details. Wipe-out territory.

The skill's job: ride as long as the wave is good, exit before it closes out.


Lifecycle Position

[plan-interview] → [intent-framed-agent] → [context-surfing ACTIVE] → [simplify-and-harden] → [self-improvement]

Context Surfing is the execution layer. It wraps all work between intent capture and post-completion review. Simplify-and-harden and self-improvement are the next steps in the pipeline — they run after context-surfing completes, not as conditions that end it.

Relationship with intent-framed-agent

Both skills are live during execution. They monitor different failure modes:

  • intent-framed-agent monitors scope drift — am I doing the right thing? It fires structured Intent Checks when work moves outside the stated outcome.
  • context-surfing monitors context quality drift — am I still capable of doing it well? It fires when the agent's own coherence degrades (hallucination, contradiction, hedging).

They are complementary, not redundant. An agent can be perfectly on-scope while its context quality degrades (e.g., it's doing the right thing but starting to hallucinate details). Conversely, scope drift can happen with perfect context quality (the agent deliberately chases a tangent). Intent-framed-agent's Intent Checks continue firing alongside context-surfing's wave monitoring.

Read the full file on GitHub · 376 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. 10d ago First seen · 376 lines · 144 tokens per session scan A a985c4afdcce

Subscribe to this mod's changes

context-surfing is a skill published in the GitHub repository pskoett/measuring-ai-proficiency (11 stars, last pushed 1mo ago), licensed MIT. It adds 144 tokens to every session and 4,295 once invoked, about $0.0007 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 2026-08-31.

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