audit-friction

audit-friction is a skill for Claude Code from TalonT-Org/AutoSkillit. It costs 67 tokens per session (2,568 once invoked), scanned A, original, MIT.

A log-analysis tool for Claude Code projects that finds repeated failures, tool errors, stuck loops, and misunderstandings in past sessions.

In plain words
What is it for?
Use it to audit Claude Code logs, count friction patterns, and identify where work repeatedly stalls.
Why use it?
It helps reveal which recurring problems consume the most effort, so workflow and tooling issues are easier to address.

Skill for Claude Code

Written for Claude Code: hooks in frontmatter. Also seen: mentions subagents; names the AskUserQuestion tool; positional $N argument.

Part of the autoskillit plugin — 121 skills, 1 MCP server shipped together

Good fit Use it to audit Claude Code logs, count friction patterns, and identify where work repeatedly stalls.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/talont-org/autoskillit/audit-friction
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add TalonT-Org/AutoSkillit --skill audit-friction
Clone the repo
git clone --depth 1 https://github.com/TalonT-Org/AutoSkillit

Made for: Claude Code.

Or install autoskillit, the plugin that ships this one along with the rest of its 121 skills, 1 MCP server.

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 audit-friction

README.md
[![agentmods](https://agentmods.dev/badge/skills/talont-org/autoskillit/audit-friction/github.svg)](https://agentmods.dev/skills/talont-org/autoskillit/audit-friction)
Your own site
<a href="https://agentmods.dev/skills/talont-org/autoskillit/audit-friction"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/audit-friction/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 audit-friction

Your own site · 80×15
<a href="https://agentmods.dev/skills/talont-org/autoskillit/audit-friction"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/audit-friction.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,568 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 $0.00067 $0.02568
Opus 5 $0.00034 $0.01284
Sonnet 5 $0.00013 $0.00514
Haiku 4.5 $0.00007 $0.00257

Measured 9d ago against content hash a70d51be9cd9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

audit-friction 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.

src/autoskillit/skills_extended/audit-friction/SKILL.md · 240 lines

How it starts

The opening of the file, as written. The whole thing — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Friction Audit Skill

Mine Claude Code conversation logs to identify and categorize friction — repeated failures, stuck loops, tool errors, and misunderstanding cycles that cost the most effort. Surfaces patterns causing the most resistance and recommends concrete mitigations.

When to Use

  • User says "audit friction", "find friction", "friction audit", or "what keeps going wrong"
  • User wants to know where workflows repeatedly stall or fail
  • User wants to identify systemic tooling or workflow issues across sessions

Arguments

The user may provide a "since" date (e.g., 2/7, 2026-02-07, last month). If not specified, use AskUserQuestion to ask what the earliest lookback date should be before proceeding. If the resulting window contains no logs, fall back to the last 30 days and note the adjustment.

Critical Constraints

NEVER:

  • Modify any source code files
  • Create files outside {{AUTOSKILLIT_TEMP}}/audit-friction/ directory
  • Have subagents write files — they return all findings in response text only
  • Analyze subagent log subdirectories (*/subagents/) — top-level session files only
  • Run subagents in the background (run_in_background: true is prohibited)

ALWAYS:

  • Use subagents heavily for parallel log analysis
  • All output goes under {{AUTOSKILLIT_TEMP}}/audit-friction/ (create if needed)
  • Final report: {{AUTOSKILLIT_TEMP}}/audit-friction/friction_audit_{YYYY-MM-DD_HHMMSS}.md
  • Report the file and line counts to the terminal before choosing analysis mode

Friction Categories

Friction is any pattern where repeated effort yields no progress:

  1. Tool Failure Loops — Same tool called 2+ times with repeated errors (file not found, permission denied, command not found, network errors)
  2. Approach Reversals — Multiple strategy pivots for the same goal: tries approach A, fails, tries B, fails, tries C
  3. Test Fix Cycles — Repeated test-run → fail → fix → test-run → still fails sequences without resolution
  4. Misunderstanding Cycles — User corrections indicating the model misread the task; repeated wrong-direction attempts before course correction
  5. Search Failures — Repeated failed searches for relevant code (wrong file paths, grep returning nothing, symbol not found)
  6. Build/Compile Errors — Recurring build or compilation failures that block progress across multiple attempts
  7. Permission/Access Blockers — Tool calls denied, files inaccessible, repeated approval interruptions halting flow
  8. Context Re-exploration — Model re-investigates already-covered ground within the same session, forgetting earlier findings

Read the full file on GitHub · 240 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. 9d ago First seen · 240 lines · 67 tokens per session scan A a70d51be9cd9

Subscribe to this mod's changes

audit-friction is a skill published in the GitHub repository TalonT-Org/AutoSkillit (5 stars, last pushed today), licensed MIT. It adds 67 tokens to every session and 2,568 once invoked, about $0.0003 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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