audit-sweep

audit-sweep is a skill for Claude Code from ayeshakhalid192007-dev/graph-engineering-crash-course. It costs 47 tokens per session (938 once invoked), scanned A, original, MIT.

A batch review that examines all outputs from a main loop together to find patterns across separate items. A main loop is a process that handles items one at a time.

In plain words
What is it for?
Use it for cross-item audits over a review period, with findings tied to the specific outputs they span.
Why use it?
It catches repeated values, actors, or structures that cannot be seen reliably when each output is reviewed in isolation.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; positional $N argument; mentions Claude Code.

Good fit Use it for cross-item audits over a review period, with findings tied to the specific outputs they span.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ayeshakhalid192007-dev/graph-engineering-crash-course/audit-sweep
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 ayeshakhalid192007-dev/graph-engineering-crash-course --skill audit-sweep
Clone the repo
git clone --depth 1 https://github.com/ayeshakhalid192007-dev/graph-engineering-crash-course

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 audit-sweep

README.md
[![agentmods](https://agentmods.dev/badge/skills/ayeshakhalid192007-dev/graph-engineering-crash-course/audit-sweep.svg)](https://agentmods.dev/skills/ayeshakhalid192007-dev/graph-engineering-crash-course/audit-sweep)
Your own site
<a href="https://agentmods.dev/skills/ayeshakhalid192007-dev/graph-engineering-crash-course/audit-sweep"><img src="https://agentmods.dev/badge/skills/ayeshakhalid192007-dev/graph-engineering-crash-course/audit-sweep.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 938 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 $0.00047 $0.00938
Opus 5 $0.00023 $0.00469
Sonnet 5 $0.00009 $0.00188
Haiku 4.5 $0.00005 $0.00094

Measured 8d ago against content hash bd153f8c5d51, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

audit-sweep 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 8d 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.

starters/audit-loop/.claude/skills/audit-sweep/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

audit-sweep

Reads every output the main loop produced over a review window as one set, rather than one at a time, and checks for patterns that only become visible once multiple outputs are held in view together — reporting each pattern found, and naming which items it spans.

Instructions

You are a Claude Code skill implementing the audit-loop pattern. Follow these steps in order:

  1. Read the main loop's full output set for the review window as a single batch, not item by item. Default to the claims in this kit's README.md unless the user gives you a different window. Holding the whole set in view at once is the entire point — this step is what the main loop structurally cannot do from inside its own one-item scope.
  2. Do not re-check any single item against its own governing rule. The main loop already checked each item against the rule meant for it (e.g., a claim against its own policy terms); re-litigating that isn't this skill's job and duplicates work the main loop already did correctly.
  3. Look specifically for cross-item patterns: repeated values, repeated actors, or repeated structures that recur across otherwise unconnected items in the set. In this kit's scenario, that means near-identical repair line-item breakdowns from the same shop recurring across claims filed by different, unrelated policyholders.
  4. Require the recurring detail to actually match, not merely the surface actor. Two items sharing a vendor or shop name is not itself the pattern — the line items, amounts, or structure have to line up closely enough that coincidence is implausible. A third item from the same shop with an unrelated breakdown is not part of the pattern; note it as checked and cleared, not swept in because the shop name matched.
  5. Name every item the pattern spans, not just the first one noticed. A flag that only cites one claim isn't useful to whoever reviews it next — cite all of them, with the specific matching detail that ties them together.
  6. Do not resolve the pattern. This skill's job is to surface it with enough specificity for a human or a downstream process to act on — it does not deny a claim, reverse an approval, or contact the shop itself.
  7. Report every pattern found, and separately report which items in the set were reviewed and cleared, so a reader can tell "reviewed, no pattern" apart from "not reviewed."

Read the full file on GitHub · 93 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. 8d ago First seen · 93 lines · 47 tokens per session scan A bd153f8c5d51

Subscribe to this mod's changes

audit-sweep is a skill published in the GitHub repository ayeshakhalid192007-dev/graph-engineering-crash-course (5 stars, last pushed 13d ago), licensed MIT. It adds 47 tokens to every session and 938 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 2026-08-31.

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