assess-fix

assess-fix is a command for Claude Code, OpenCode from rianvdm/product-ai-public. It costs 32 tokens per session (4,647 once invoked), scanned A, original, MIT.

A command that investigates a Jira ticket and decides whether its code fix is suitable for a technical project manager and a coding agent to implement. If it is suitable, it produces an implementation brief for creating a merge request, which is a proposed code change for review.

In plain words
What is it for?
Use it to trace a ticket to its GitLab repository, inspect related files and past tickets, assess the proposed change, and prepare instructions for a coding agent when appropriate.
Why use it?
It turns an incomplete ticket into a structured go/no-go/maybe assessment backed by repository and ticket evidence. This reduces uncertainty before implementation starts.

Command for Claude CodeOpenCode

Written for Claude Code and OpenCode: $ARGUMENTS substitution, but also installed under .opencode/. Also seen: mentions subagents; mentions AGENTS.md.

Good fit Use it to trace a ticket to its GitLab repository, inspect related files and past tickets, assess the proposed change, and prepare instructions for a coding agent when appropriate.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/rianvdm/product-ai-public/assess-fix
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.

Clone the repo
git clone --depth 1 https://github.com/rianvdm/product-ai-public

Made for: Claude Code, OpenCode.

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 assess-fix

README.md
[![agentmods](https://agentmods.dev/badge/commands/rianvdm/product-ai-public/assess-fix/github.svg)](https://agentmods.dev/commands/rianvdm/product-ai-public/assess-fix)
Your own site
<a href="https://agentmods.dev/commands/rianvdm/product-ai-public/assess-fix"><img src="https://agentmods.dev/badge/commands/rianvdm/product-ai-public/assess-fix/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 assess-fix

Your own site · 80×15
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Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,647 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 $0.00032 $0.04647
Opus 5.5 $0.00013 $0.01859
Sonnet 5.5 $0.00006 $0.00929
Haiku 4.5 $0.00003 $0.00465

Measured 1mo ago against content hash 19082a8f4bbb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

assess-fix 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 1mo 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.

.opencode/command/assess-fix.md · 361 lines

How it starts

The opening of the file, as written. The whole thing — 361 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Assess Fix Feasibility

You are a PM evaluating whether a Jira ticket describes a code change that a technical PM (not an engineer) could implement with the help of an LLM coding agent and submit as a merge request. Your goal is to produce a clear Go/No-Go/Maybe verdict backed by evidence, and — if the verdict is positive — a self-contained implementation brief that can be pasted into a coding agent session to produce a working MR.

Your Task

$ARGUMENTS

The argument is a Jira ticket ID (e.g., ENG-1570) or a full Jira URL. Extract the ticket ID and proceed.

Workflow

Phase 1: Understand the Ticket

Fetch the full ticket with cfi --json jira get <KEY> --comments 20 (see the cfi skill). Extract:

  • Summary and description — what needs to change and why
  • Code references — any file paths, line numbers, Sourcegraph URLs, or GitLab links in the description or comments
  • Linked tickets — especially closed ones that show how similar changes were done
  • Comments — triage notes, engineering discussion, any disagreement about approach
  • The repo — identify which GitLab repository contains the code that needs to change. Look for repo names, service names, or code URLs in the ticket.

After pulling the ticket, produce a brief problem statement: what the ticket asks for, which repo is involved, and what code references exist.

Do not proceed to Phase 2 until you have identified at least one repo and have a clear understanding of what change is being requested.

Phase 2: Investigate (parallel)

Launch TWO agents in parallel. Both should return findings only — no files written.

Track 1 — @fix-assessor: Code analysis and feasibility assessment

This specialist agent reads the actual code, maps the change surface area, checks CI/test infrastructure, and scores feasibility criteria.

Task(
  subagent_type="fix-assessor",
  description="Assess fix feasibility for [TICKET-ID]",
  prompt="I'm assessing whether [TICKET-ID] can be fixed by a technical PM with the help of an LLM coding agent.

Problem: [brief description of what needs to change]

Code references from the ticket:
[list all file paths, line numbers, Sourcegraph/GitLab URLs from Phase 1]

Repo: [gitlab path discovered in Phase 1]

Linked tickets (especially completed similar work): [list]

Please investigate following your standard workflow: discover the repo, read the referenced code, follow dependencies 1 hop out, check CI/tests/CODEOWNERS, and score all 7 feasibility criteria. Return your structured findings. Do not write any files."
)

Read the full file on GitHub · 361 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. 1mo ago Changed · -2 lines 19082a8f4bbb
  2. 1mo ago Changed · +1 lines · +5 tokens per session 78b835d4e200
  3. 1mo ago First seen · 362 lines · 27 tokens per session scan A 3be89799b82d

Subscribe to this mod's changes

assess-fix is a command published in the GitHub repository rianvdm/product-ai-public (18 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 4,647 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-09.

Related

assess-fix compared with commands from other repositories

assess-fix next to 6 commands from other repositories
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assess-fixrianvdm/product-ai-publicCommand181mo agoMITA32Claude Code, OpenCode
checklistgithub/spec-kitCommand148kyesterdayMITA13Claude Code
clarifygithub/spec-kitCommand148kyesterdayMITA27Claude Code
specifygithub/spec-kitCommand148kyesterdayMITA13Claude Code
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convergegithub/spec-kitCommand148kyesterdayMITA35Claude Code
implementgithub/spec-kitCommand148kyesterdayMITA14Claude Code