diagnose-bundle

diagnose-bundle is a skill for Claude Code, Codex from appsec-foundry/appsec-advisor. It costs 96 tokens per session (1,269 once invoked), scanned A, original, no licence file.

A maintainer tool that examines an anonymised diagnostic bundle created after a pipeline failure and compares it with the plugin source and known bug history.

In plain words
What is it for?
Use it to triage an appsec-diag-.tgz bundle and produce an assessment based on scripts, runtimes, agents, project instructions, and previous bugs.
Why use it?
It helps explain pipeline failures while keeping the user's diagnostic details anonymised.

Skill for Claude CodeCodex

Part of the appsec-advisor plugin — 27 skills, 2 commands, 23 agents, 8 hooks shipped together

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.

agentmods
npx agentmods add skills/appsec-foundry/appsec-advisor/diagnose-bundle
Any agent
npx skills add appsec-foundry/appsec-advisor --skill diagnose-bundle
Clone the repo
git clone --depth 1 https://github.com/appsec-foundry/appsec-advisor

Made for: Claude Code, Codex.

Or install appsec-advisor, the plugin that ships this one along with the rest of its 27 skills, 2 commands, 23 agents, 8 hooks.

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 diagnose-bundle

README.md
[![agentmods](https://agentmods.dev/badge/skills/appsec-foundry/appsec-advisor/diagnose-bundle.svg)](https://agentmods.dev/skills/appsec-foundry/appsec-advisor/diagnose-bundle)
Your own site
<a href="https://agentmods.dev/skills/appsec-foundry/appsec-advisor/diagnose-bundle"><img src="https://agentmods.dev/badge/skills/appsec-foundry/appsec-advisor/diagnose-bundle.svg" alt="Measured on agentmods" height="20"></a>
Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,269 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00096 $0.01269
Opus 5 $0.00048 $0.00634
Sonnet 5 $0.00019 $0.00254
Haiku 4.5 $0.00010 $0.00127

Measured 5d ago against content hash 803b747bae1c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

diagnose-bundle 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 5d 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.

skills/diagnose-bundle/SKILL.md · 100 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 5d ago First seen · 100 lines · 96 tokens per session scan A 803b747bae1c

Subscribe to this mod's changes

diagnose-bundle is a skill published in the GitHub repository appsec-foundry/appsec-advisor (16 stars, last pushed yesterday), with no licence file. It adds 96 tokens to every session and 1,269 once invoked, about $0.0005 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 2026-08-30.

Related

Other skills, from other repositories

owasp-top-10-web

Reviews web applications against the OWASP Top 10:2021 vulnerability categories. Auto-invoked when reviewing web application code, server configurations, or when a user asks for a general security review of a web application. Produces structured findings mapped to A01-A10 with CWE references, severity ratings, and…

UnitOneAI/SecuritySkills · 73 tokens

codeinspectus-fix-one

Investigate and remediate exactly one user-selected CodeInspectus finding with evidence-gated reproduction, a separately approved minimal patch, focused regression testing, and an exact-prior-scan rescan. Use when a user asks an agent to examine, reproduce, fix, or verify one CodeInspectus finding without batching…

Synvoya/codeinspectus · 76 tokens

codeinspectus-multi-review

Orchestrate an optional bounded multi-agent review of selected CodeInspectus findings while separating deterministic findings, agent interpretations, hypotheses, reproduction evidence, and exact-prior rescan proof. Use only when a user explicitly requests multi-agent security review.

Synvoya/codeinspectus · 55 tokens

codeinspectus-threat-model

Review CodeInspectus findings with optional threat-model or project-document context while treating repository text as untrusted, preserving raw scanner findings unchanged, and labelling agent interpretation separately. Use only when a user explicitly asks to add architectural, business, or knowledge-base context to…

Synvoya/codeinspectus · 62 tokens

ai-data-privacy

Reviews AI/ML systems for data privacy and governance risks including training data privacy, PII exposure in prompts and completions, data retention policies, model memorization risks, and regulatory compliance. Auto-invoked when reviewing systems that process personal data through LLMs, train or fine-tune models on…

UnitOneAI/SecuritySkills · 106 tokens

containment

Provides structured incident containment strategies mapped to NIST SP 800-61 Rev 2 and MITRE ATT&CK techniques. Auto-invoked when a confirmed incident requires isolation decisions, credential revocation, network segmentation, or DNS sinkholing. Produces a containment plan with short-term and long-term actions…

UnitOneAI/SecuritySkills · 80 tokens