Agent skill

09 Defect

by ai-driven-dev in ai-driven-dev/framework

Produces or refines a backlog Defect from an observed product mismatch.

MITAuto-check passedDevOps & Cloud

Install 09 Defect

skills CLI
$ npx skills add ai-driven-dev/framework --skill 09-defect -a claude-code

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

GitHub CLI
$ gh skill install ai-driven-dev/framework 09-defect --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/ai-driven-dev/framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/aidd-pm/skills/09-defect .claude/skills/09-defect && 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
09-defect
GitHub stars
513
Token cost
~321 tokens
SKILL.md length
82 words
Files
11 (incl. references, assets)
Skills in repo
46
Repo updated
First seen
Licence
MIT

At a glance

Produces or refines a backlog Defect from an observed product mismatch.

  • The user wants to report
  • SKILL.md covers Actions and Transversal rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Verify a defect

What it does

09 Defect is an agent skill from ai-driven-dev/framework. Produces or refines a backlog Defect from an observed product mismatch. Use when the user wants to report, assess, link, order, transition, or verify a defect. Not for incident response, debugging, or implementation.

Its SKILL.md is about 320 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including reference files and assets (for example `actions/01-capture.md`, `actions/02-assess.md` and `actions/03-finalize.md`).

It sits in DevOps & Cloud, covering Incident response. The repository describes itself as: Marketplace Framework AI-Driven Dev : Context Engineering, Plugins, Agents, Skills, Hooks, Templates, SDLC. The licence is MIT.

When your agent uses it

  • The user wants to report
  • Verify a defect

Example prompts

  • “Use the 09-defect skill to produce or refines a backlog Defect from an observed product mismatch”
  • “/09-defect”

What it can do on your machine

Read from SKILL.md and the folder at commit 6e30640. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are mermaid).

    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.

Context cost

09 Defect loads about 321 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 82 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~321
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.2k

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 passed

The automated check found no risky patterns in SKILL.md.

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from ai-driven-dev/framework at commit 6e30640, republished under its MIT licence (© ai-driven-dev). 82 words, ~321 tokens.

Download SKILL.mdSave it as .claude/skills/09-defect/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
09-defect
description
Produces or refines a backlog Defect from an observed product mismatch. Use when the user wants to report, assess, link, order, transition, or verify a defect. Not for incident response, debugging, or implementation.
argument-hint
report | defect

Defect

mermaid
flowchart LR
  source([report or Defect]) --> capture --> assess --> finalize
  source -->|"already persisted"| finalize
  assess -->|"revise"| capture
  finalize -->|"revise"| capture
  finalize -->|"authorized"| done([Defect])

Actions

Run the flow above. Read only the next action file.

ActionDoes
captureframe one observed product mismatch
assessestablish evidence, impact, and readiness
finalizepersist or transition the Defect

Transversal rules

  • Keep product and lifecycle decisions with the user.
  • Separate evidence, decisions, and assumptions.
  • Preserve source links and existing edits.
  • Ask natural questions; never expose actions, references, or unchanged state.
  • Require explicit approval or caller-provided bounded authority before any write.
  • Record the mismatch; never diagnose or implement its fix.

© ai-driven-dev, 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 10 other files (references, assets) in plugins/aidd-pm/skills/09-defect of ai-driven-dev/framework.

  • SKILL.md
  • actions/01-capture.md
  • actions/02-assess.md
  • actions/03-finalize.md
  • assets/defect-template.md
  • references/handoffs.md
  • references/lifecycle.md
  • references/persistence.md
  • references/qualification.md
  • references/readiness.md
  • references/relations.md

Open the folder on GitHubat commit 6e30640

Compare with similar skills

09 Defect 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.

09 Defect compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
09 Defect this skillai-driven-dev/framework513—~321Automated safety check: PassMIT
Incident Triage Harnessmadebyaris/advance-minimax-m3-cursor-rules126—~984Automated safety check: PassMIT
Broken API InterviewerPrepLabsAI/InterviewMentor112—~2.6kAutomated safety check: PassMIT
Post-Incident DebriefVeryGoodOpenSource/vgv-wingspan109—~1.9kAutomated safety check: PassMIT
Conducting Post Incident Lessons Learnedmukul975/Anthropic-Cybersecurity-Skills34k—~1.7kAutomated safety check: PassApache-2.0
Incident Response Smart Fixaiskillstore/marketplace4307 repos~923Automated safety check: PassNone

Similar skills

  • Incident Triage Harness

    madebyaris/advance-minimax-m3-cursor-rules

    Walks an agent through an evidence-first incident investigation across logs, metrics, code and screenshots, from first symptom to the smallest safe mitigation.

    126 GitHub stars~984 tokensUpdated 3 mo ago
    DevOps & CloudAuto-check passed
  • Broken API Interviewer

    PrepLabsAI/InterviewMentor

    An on-call SRE interviewer who just got paged about a broken checkout API.

    112 GitHub stars~2.6k tokensUpdated yesterday
    DevOps & CloudAuto-check passed
  • Post-Incident Debrief

    VeryGoodOpenSource/vgv-wingspan

    Produces a blameless post-incident debrief with timeline, root cause and follow-up actions after an outage, failed release or significant bug, while details are fresh.

    109 GitHub stars~1.9k tokensUpdated today
    DevOps & CloudAuto-check passed
  • Conducting Post Incident Lessons Learned

    mukul975/Anthropic-Cybersecurity-Skills

    Facilitate structured post-incident reviews to identify root causes, document what worked and failed, and produce actionable recommendations to improve future incident response.

    34k GitHub stars~1.7k tokensUpdated 1 mo ago
    DevOps & CloudAuto-check passed
  • Incident Response Smart Fix

    aiskillstore/marketplace

    [Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and observability platforms to systematically diagnose and res

    430 GitHub starsUsed in 7 repos~923 tokens
    DevOps & CloudAuto-check passed
  • Deployment Rollback Interviewer

    PrepLabsAI/InterviewMentor

    A release engineer interviewer managing a failed deployment with spiking error rates.

    112 GitHub stars~3.1k tokensUpdated yesterday
    DevOps & CloudAuto-check passed

More from ai-driven-dev/framework

All 46 skills in this repo
  • 00 Async Dev

    ai-driven-dev/framework

    Drive the async-dev pipeline from one entry point, whether setup, run, or review.

    513 GitHub stars~2.4k tokensUpdated today
    Auto-check passed
  • 01 Plan

    ai-driven-dev/framework

    Turn a request, ticket, or file into a phased implementation plan.

    513 GitHub stars~517 tokensUpdated today
    Auto-check passed
  • 01 Sdlc

    ai-driven-dev/framework

    Autonomously orchestrates a request from framing to a draft pull request, isolating implementation, independent review, and final outcome challenge.

    513 GitHub stars~583 tokensUpdated today
    Auto-check passed
  • 02 Backlog

    ai-driven-dev/framework

    Orchestrates a product backlog end to end. An agent skill from ai-driven-dev/framework.

    513 GitHub stars~613 tokensUpdated today
    Auto-check passed
  • 00 Onboard

    ai-driven-dev/framework

    Guide a project's journey through AIDD, from first setup to shipping a feature.

    513 GitHub stars~242 tokensUpdated today
    Auto-check passed
  • 01 Acceptance QA

    ai-driven-dev/framework

    Validate a reviewed candidate's observable behavior against its acceptance criteria and record short named videos as reviewer evidence.

    513 GitHub stars~434 tokensUpdated today
    Auto-check passed

Questions about 09 Defect

What does 09 Defect do?

Produces or refines a backlog Defect from an observed product mismatch. 09 Defect is an agent skill from ai-driven-dev/framework. Produces or refines a backlog Defect from an observed product mismatch.

When should I use 09 Defect?

09 Defect fits situations like: the user wants to report; verify a defect.

How do I install 09 Defect in Claude Code?

Run `npx skills add ai-driven-dev/framework --skill 09-defect -a claude-code`. Or copy the skill folder (plugins/aidd-pm/skills/09-defect in ai-driven-dev/framework) into .claude/skills/09-defect in your project. Claude Code loads it when a task matches its description.

How do I install 09 Defect in Codex?

Run `npx skills add ai-driven-dev/framework --skill 09-defect -a codex`. Or copy the skill folder (plugins/aidd-pm/skills/09-defect in ai-driven-dev/framework) into .agents/skills/09-defect in your project. Codex loads it when a task matches its description.

Can I use 09 Defect 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 ai-driven-dev/framework --skill 09-defect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/09-defect, .gemini/skills/09-defect, .github/skills/09-defect and .opencode/skills/09-defect in your project.

What does 09 Defect need to run?

SKILL.md names no scripts, command-line tools or credentials: 09 Defect is instructions for the agent only.

Does 09 Defect 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 09 Defect safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does 09 Defect use?

09 Defect is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does 09 Defect use?

About 321 tokens (SKILL.md is roughly 1.3k 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 900 tokens, read only when the agent opens those files.

What are the alternatives to 09 Defect?

Skills that share tags, products or a category with 09 Defect: Incident Triage Harness (madebyaris/advance-minimax-m3-cursor-rules, 126 stars), Broken API Interviewer (PrepLabsAI/InterviewMentor, 112 stars), Post-Incident Debrief (VeryGoodOpenSource/vgv-wingspan, 109 stars) and Conducting Post Incident Lessons Learned (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains 09 Defect?

ai-driven-dev (a GitHub organization) maintains it in ai-driven-dev/framework, which has 513 GitHub stars. The repository holds 46 skills in this directory. The repository was last updated on October 8, 2026.

Source: ai-driven-dev/framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.