Agent skill

Audit Full

by yonatangross in yonatangross/orchestkit

Single-pass codebase analysis leveraging a 1M-token context window for comprehensive security scanning, architecture review, and dependency auditing.

MITAuto-check: notesSecurity

Install Audit Full

skills CLI
$ npx skills add yonatangross/orchestkit --skill audit-full -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install yonatangross/orchestkit audit-full --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/yonatangross/orchestkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/skills/audit-full .claude/skills/audit-full && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
audit-full
GitHub stars
290
Token cost
~3.5k tokens
SKILL.md length
1,291 words
Files
19 (incl. scripts, references, assets)
Skills in repo
108
Repo updated
First seen
Licence
MIT

At a glance

Single-pass codebase analysis leveraging a 1M-token context window for comprehensive security scanning, architecture review, and dependency auditing.

  • Works in 6 steps: Verify User Intent with AskUserQuestion → Estimate Token Budget → Load Codebase into Context → …
  • You need whole-project analysis before releases
  • SKILL.md covers Quick Start, STEP 0: Verify User Intent…, CRITICAL: Task Management is… and STEP 1: Estimate Token Budget, plus 9 more sections
  • Runs Shell scripts from its folder; calls bash

What it does

Audit Full is an agent skill from yonatangross/orchestkit. Single-pass codebase analysis leveraging a 1M-token context window for comprehensive security scanning, architecture review, and dependency auditing. Loads entire codebases for cross-file pattern detection and generates structured audit reports with severity-ranked findings. Use when you need whole-project analysis before releases or security reviews.

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 23 other files, including scripts, reference files and assets (for example `assets/audit-report-template.md`, `assets/severity-matrix.md` and `checklists/audit-completion.md`). Compatibility notes: Claude Code 2.1.277+. Requires memory MCP server.

It sits in Security, covering Software architecture, Security review and Codebase onboarding. The repository describes itself as: The Complete AI Development Toolkit for Claude Code. 106 skills, 36 agents, 171 hooks. Install ork for stable (v9.x), or ork-alpha for the v10 line, which ships daily. The licence is MIT.

When your agent uses it

  • You need whole-project analysis before releases
  • Security reviews

Example prompts

  • “/audit-full”

Requirements

  • Python 3
  • A Bash shell
  • Compatibility (from SKILL.md): Claude Code 2.1.277+. Requires memory MCP server.
  • Pre-approved tools (allowed-tools): AskUserQuestion, Read, Grep, Glob, Bash, Agent, TaskCreate, TaskUpdate, TaskList, Workflow, PushNotification, mcp__memory__search_nodes

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Verify User Intent with AskUserQuestion
  2. Estimate Token Budget
  3. Load Codebase into Context
  4. Audit Analysis
  5. 5: Adversarial Refutation (effort-gated)
  6. Generate Report

What it can do on your machine

Read from SKILL.md and the folder at commit 02bbf9a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • AskUserQuestion
    • Read
    • Grep
    • Glob
    • Bash
    • Agent
    • TaskCreate
    • TaskUpdate
    • TaskList
    • Workflow

    …and 2 more on the same allowed-tools line.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Shell, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • bash

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Claude Code 2.1.277+. Requires memory MCP server.

    From compatibility in the SKILL.md frontmatter.

Context cost

Audit Full loads about 3.5k tokens when it runs, and up to ~9.6k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 1,291 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: AskUserQuestion, Read, Grep, Glob, Bash, Agent, TaskCreate, TaskUpdate, TaskList, Workflow, PushNoti

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from yonatangross/orchestkit at commit 02bbf9a, republished under its MIT licence (© yonatangross). 1,291 words, ~3,473 tokens.

Download SKILL.mdSave it as .claude/skills/audit-full/SKILL.md (or your agent's skills folder). This skill also uses 18 other files; get the full folder from GitHub.
name
audit-full
description
Single-pass codebase analysis leveraging a 1M-token context window for comprehensive security scanning, architecture review, and dependency auditing. Loads entire codebases for cross-file pattern detection and generates structured audit reports with severity-ranked findings. Use when you need whole-project analysis before releases or security reviews.
allowed-tools
AskUserQuestion, Read, Grep, Glob, Bash, Agent, TaskCreate, TaskUpdate, TaskList, Workflow, PushNotification, mcp__memory__search_nodes
compatibility
Claude Code 2.1.277+. Requires memory MCP server.
license
MIT
argument-hint
[scope]
context
fork
background
false
user-invocable
false
skills
security-patterns, architecture-patterns, quality-gates
effort
high
model
opus
metadata.category
document-asset-creation
metadata.mcp-server
memory

Full-Codebase Audit

Single-pass whole-project analysis leveraging Opus 5.5's extended context window. Loads entire codebases (~50K LOC) into context for cross-file vulnerability detection, architecture review, and dependency analysis.

Quick Start

bash
audit-full                          # Full audit (all modes)
audit-full security                 # Security-focused audit
audit-full architecture             # Architecture review
audit-full dependencies             # Dependency audit

Opus 5.5: Uses complexity: max for extended thinking across entire codebases. 1M context (default and maximum on Opus 5.5) enables cross-file reasoning that chunked approaches miss. Set effort explicitly: Opus 5.5's own default is medium (one level below Opus 5's high), and CC 2.1.280+ starts a newly released model at its default rather than an older saved /effort level. Run audits at high; use xhigh for one additional cross-file pattern sweep on the hardest codebases.

1M Context Required: If CLAUDE_CODE_DISABLE_1M_CONTEXT is set, audit-full cannot perform full-codebase analysis. Check: echo $CLAUDE_CODE_DISABLE_1M_CONTEXT — if non-empty, either unset it (unset CLAUDE_CODE_DISABLE_1M_CONTEXT) or use verify for chunked analysis instead.

Effort (CC 2.1.111+): xhigh adds a second pass that re-reads cross-module boundaries specifically looking for patterns the first pass normalized over. Reserve xhigh for the hardest codebases (see the Opus 5.5 note above for the default). Silently falls back to high on other models; doctor warns on mismatch.

Switching to Opus (CC 2.1.144+): /model now affects the current session only — pick Opus for this audit without it persisting. Press d in the picker only if you want it as the default for new sessions too.


STEP 0: Verify User Intent with AskUserQuestion

BEFORE creating tasks, clarify audit scope using the interactive dialog.

Load: Read("references/audit-scope-dialog.md") for the full AskUserQuestion dialog with mode options (Full/Security/Architecture/Dependencies) and scope options (Entire codebase/Specific directory/Changed files).


CRITICAL: Task Management is MANDATORY

python
# 1. Create main task IMMEDIATELY
TaskCreate(
  subject="Full-codebase audit",
  description="Single-pass audit using extended context",
  activeForm="Running full-codebase audit"
)

# 2. Create subtasks for each phase
TaskCreate(subject="Estimate token budget and plan loading", activeForm="Estimating token budget")  # id=2
TaskCreate(subject="Load codebase into context", activeForm="Loading codebase")                    # id=3
TaskCreate(subject="Run audit analysis", activeForm="Analyzing codebase")                          # id=4
TaskCreate(subject="Generate audit report", activeForm="Generating report")                        # id=5

# 3. Set dependencies for sequential phases
TaskUpdate(taskId="3", addBlockedBy=["2"])  # Loading needs budget estimate
TaskUpdate(taskId="4", addBlockedBy=["3"])  # Analysis needs codebase loaded
TaskUpdate(taskId="5", addBlockedBy=["4"])  # Report needs analysis done

# 4. Update status as you progress
TaskUpdate(taskId="2", status="in_progress")  # When starting
TaskUpdate(taskId="2", status="completed")    # When done — repeat for each subtask

STEP 1: Estimate Token Budget

Before loading files, estimate whether the codebase fits in context.

Load: Read("references/token-budget-planning.md") for estimation rules (tokens/line by file type), budget allocation tables, auto-exclusion list, and fallback dialog when codebase exceeds budget.

Run estimation: bash ${CLAUDE_SKILL_DIR}/scripts/estimate-tokens.sh /path/to/project

Two tiers — pick by the estimate

audit-full has two execution tiers. The estimate decides which:

Estimate vs budgetTierPath
Fits (~≤125K LOC / ≤1M tokens)Single-context (default — the skill's edge: whole-codebase cross-file reasoning in one window)continue to STEP 2
Exceeds budgetMap-reduce (scale tier — shard → per-shard audit → cross-shard boundary synthesis → refute)invoke the workflow below; STEP 2–3.5 run inside it

Over-budget → run the map-reduce workflow (don't punt, don't silently truncate the load):

python
# Derive shards from STEP 1 (top-level modules/dirs by size: src, apps/api, apps/web, packages/*).
Workflow({
  "scriptPath": "${CLAUDE_SKILL_DIR}/workflows/audit-full-mapreduce.js",
  "args": { "shards": ["<repo-relative dirs>"], "mode": "<full|security|architecture|dependencies>", "effort": "<high|xhigh>" }
})

It preserves cross-file reasoning within each shard and recovers cross-shard edges (taint/auth/dep-direction that span modules) in a dedicated synthesis pass, then runs the same STEP 3.5 adversarial refutation. Its return (merged findings + refutation ledger) feeds STEP 4. The single-context tier remains the default because it's cheaper and loses no boundaries when the repo fits — only reach for map-reduce when it genuinely doesn't.


STEP 2: Load Codebase into Context

Load: Read("references/report-structure.md") for loading strategy, inclusion patterns by language (TS/JS, Python, Config), and batch reading patterns.


STEP 3: Audit Analysis

With codebase loaded, perform the selected audit mode(s).

Security Audit

Load: Read("references/security-audit-guide.md") for the full checklist.

Key cross-file analysis patterns:

  1. Data flow tracing: Track user input from entry point → processing → storage
  2. Auth boundary verification: Ensure all protected routes check auth
  3. Secret detection: Scan for hardcoded credentials, API keys, tokens
  4. Injection surfaces: SQL, command, template injection across file boundaries
  5. OWASP Top 10 mapping: Classify findings by OWASP category
Architecture Review

Load: Read("references/architecture-review-guide.md") for the full guide.

Key analysis patterns:

  1. Dependency direction: Verify imports flow inward (clean architecture)
  2. Circular dependencies: Detect import cycles across modules
  3. Layer violations: Business logic in controllers, DB in routes, etc.
  4. Pattern consistency: Same problem solved differently across codebase
  5. Coupling analysis: Count cross-module imports, identify tight coupling
Dependency Audit

Load: Read("references/dependency-audit-guide.md") for the full guide.

Key analysis patterns:

  1. Known CVEs: Check versions against known vulnerabilities
  2. License compliance: Identify copyleft licenses in proprietary code
  3. Version currency: Flag significantly outdated dependencies
  4. Transitive risk: Identify deep dependency chains
  5. Unused dependencies: Detect installed but never imported packages
Progressive Output (CC 2.1.76)

Output findings incrementally as each audit mode completes — don't batch until the report:

  1. Security findings first — show critical/high vulnerabilities immediately, don't wait for architecture review
  2. Architecture findings — show dependency direction violations, circular deps as they surface
  3. Dependency findings — show CVE matches, license compliance issues

For multi-mode audits (Full), each mode's findings appear as they complete. This lets users act on critical security findings while architecture analysis is still running.


Show full SKILL.md (575 more words)Show less

STEP 3.5: Adversarial Refutation (effort-gated)

Before the report, a separate blind refuter verifies CRITICAL/HIGH findings — the structural fix for self-preferential bias (a single-context pass grading its own findings anchors on its own reasoning). low/medium skip this step; high runs single advisory refuters; xhigh runs the engine's quorum (3 for CRITICAL, 2 for HIGH).

Load the protocol + audit-full bindings: Read("references/adversarial-refutation.md") (which loads the shared engine ${CLAUDE_PLUGIN_ROOT}/shared/rules/adversarial-refutation.md).

These refuters are audit-full's only sub-agent spawns (the producer is single-context), always isolated Agent(...) with no team_name, fed only a neutral claim (category + file:line). Deterministic ground truth is exempt — CVE/CVSS matches, failing build/test, type errors are never refuted; only a reachability claim on top of a CVE is. Cross-file findings the refuter can't reproduce from its narrow slice stay UPHELD (engine §5). Refutation never silently drops a CRITICAL — the ledger (refutation-ledger.json) records survived/killed/downgraded, and removing a CRITICAL/HIGH from the report needs user confirmation.


STEP 4: Generate Report

Load the report template: Read("assets/audit-report-template.md").

Report structure and severity classification: Read("references/report-structure.md") for finding table format, severity breakdown (CRITICAL/HIGH/MEDIUM/LOW with timelines), and architecture diagram conventions.

Severity matrix: Read("assets/severity-matrix.md") for classification criteria.

Completion Checklist

Before finalizing the report, verify with Read("checklists/audit-completion.md").

PushNotification on Completion (CC 2.1.110+)

A full-codebase 1M-context audit typically runs 15–60 minutes on medium projects and can exceed that on large ones. After the report file is written and the completion checklist passes, call PushNotification so the finding counts are visible even if the user walked away.

python
PushNotification(
  message=f"ork:audit-full complete — {SCOPE}: {critical}C/{high}H/{medium}M/{low}L · {report_path}",
  status="proactive"
)

Full rule: Read("${CLAUDE_PLUGIN_ROOT}/skills/chain-patterns/rules/push-notification-on-completion.md").


When NOT to Use

SituationUse Instead
Small targeted check (1-5 files)Direct Read + analysis
CI/CD automated scanningsecurity-scanning skill
Multi-agent graded verificationverify
Exploring unfamiliar codebaseexplore
Codebase > 125K LOC (exceeds 1M)stay here — STEP 1 routes to the map-reduce tier (workflows/audit-full-mapreduce.js); verify only if you want multi-agent graded verification instead of an audit

Notes for whole-codebase passes

Oversized reads (CC 2.1.144+): When loading large files, Read returns a [PARTIAL view] truncated first page instead of a hard error if the whole-file read exceeds the token limit. Detect that notice and re-read with explicit offset/limit to page through the rest — a partial read silently omits code an audit must not miss.

When context fills (CC 2.1.141+): Use the rewind menu's "Summarize up to here" to compress earlier turns while keeping recent findings, instead of restarting the audit. Reactive compaction (CC 2.1.142+) sizes the first summarize to the actual overflow, so a wasted second pass mid-turn is now rare.


Running unattended with /goal

Set a completion condition with /goal (CC 2.1.139+) and this skill will keep working across turns until the condition is met. Works in interactive, -p, and Remote Control. The overlay panel shows live elapsed / turns / tokens.

Example completion condition for this skill:

/goal until findings.critical == 0 OR no_new_critical_for_3_turns, or stop after 30 turns

Stops when: zero critical issues remain across 3 consecutive passes, or a structural anti-pattern budget is reached. Compatible with claude.ai Remote Control runs.


  • security-scanning — Automated scanner integration (npm audit, Semgrep, etc.)
  • ork:security-patterns — Security architecture patterns and OWASP vulnerability classification
  • ork:architecture-patterns — Architectural pattern reference
  • ork:quality-gates — Quality assessment criteria
  • ork:verify — Multi-agent verification (fallback for codebases exceeding 1M context)

References

Load on demand with Read("references/<file>"):

FileContent
references/security-audit-guide.mdCross-file vulnerability patterns
references/architecture-review-guide.mdPattern and coupling analysis
references/dependency-audit-guide.mdCVE, license, currency checks
references/adversarial-refutation.mdBlind-refuter bindings (STEP 3.5) — loads the shared engine
references/token-estimation.mdFile type ratios and budget planning
assets/audit-report-template.mdStructured output format
assets/severity-matrix.mdFinding classification criteria
checklists/audit-completion.mdPre-report verification
scripts/estimate-tokens.shAutomated LOC to token estimation
workflows/audit-full-mapreduce.jsScale tier — shard→audit→synthesize→refute for repos that exceed 1M context (run via the Workflow tool)

© yonatangross, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 18 other files (scripts, references, assets) in src/skills/audit-full of yonatangross/orchestkit.

  • SKILL.md
  • assets/audit-report-template.md
  • assets/severity-matrix.md
  • checklists/audit-completion.md
  • references/adversarial-refutation.md
  • references/architecture-review-guide.md
  • references/audit-scope-dialog.md
  • references/dependency-audit-guide.md
  • references/report-structure.md
  • references/security-audit-guide.md
  • references/token-budget-planning.md
  • references/token-estimation.md
  • rules/_sections.md
  • rules/finding-severity-classification.md
  • rules/scope-declaration.md
  • scripts/estimate-tokens.sh
  • … and 3 more

Open the folder on GitHubat commit 02bbf9a

Compare with similar skills

Audit Full next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Audit Full compared with similar skills
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Audit Full this skillyonatangross/orchestkit290—~3.5kAutomated safety check: NotesMIT
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Sast Analysisutkusen/sast-skills1.3k—~1kAutomated safety check: PassMIT
Zhin Auditzhinjs/zhin136—~596Automated safety check: NotesMIT
ccc Semantic Code Searchcocoindex-io/cocoindex-code2.8k—~938Automated safety check: PassApache-2.0
Repomix Codebase Packeryamadashy/repomix29k—~1.3kAutomated safety check: NotesMIT

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Questions about Audit Full

What does Audit Full do?

Single-pass codebase analysis leveraging a 1M-token context window for comprehensive security scanning, architecture review, and dependency auditing. Audit Full is an agent skill from yonatangross/orchestkit. Single-pass codebase analysis leveraging a 1M-token context window for comprehensive security scanning, architecture review, and dependency auditing.

When should I use Audit Full?

Audit Full fits situations like: you need whole-project analysis before releases; security reviews.

How do I install Audit Full in Claude Code?

Run `npx skills add yonatangross/orchestkit --skill audit-full -a claude-code`. Or copy the skill folder (src/skills/audit-full in yonatangross/orchestkit) into .claude/skills/audit-full in your project. Claude Code loads it when a task matches its description.

How do I install Audit Full in Codex?

Run `npx skills add yonatangross/orchestkit --skill audit-full -a codex`. Or copy the skill folder (src/skills/audit-full in yonatangross/orchestkit) into .agents/skills/audit-full in your project. Codex loads it when a task matches its description.

Can I use Audit Full in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yonatangross/orchestkit --skill audit-full -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/audit-full, .gemini/skills/audit-full, .github/skills/audit-full and .opencode/skills/audit-full in your project.

What does Audit Full need to run?

Going by SKILL.md and its folder, Audit Full needs a shell for the scripts in its folder and the command-line tools its instructions call (bash). Our summary lists: Python 3; A Bash shell. Its frontmatter pre-approves these tools: AskUserQuestion, Read, Grep, Glob, Bash, Agent, TaskCreate, TaskUpdate, TaskList, Workflow, PushNotification, mcp__memory__search_nodes. Compatibility (from SKILL.md): Claude Code 2.1.277+. Requires memory MCP server..

Does Audit Full access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Audit Full safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Audit Full use?

Audit Full is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Audit Full use?

About 3.5k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.2k tokens, read only when the agent opens those files.

What are the alternatives to Audit Full?

Skills that share tags, products or a category with Audit Full: Audit Flow (zebbern/claude-code-guide, 4.7k stars), Sast Analysis (utkusen/sast-skills, 1.3k stars), Zhin Audit (zhinjs/zhin, 136 stars) and ccc Semantic Code Search (cocoindex-io/cocoindex-code, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Audit Full?

yonatangross (a GitHub user) maintains it in yonatangross/orchestkit, which has 290 GitHub stars. The repository holds 108 skills in this directory. The repository was last updated on October 9, 2026.

Source: yonatangross/orchestkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.