fixer

An agent that applies a supplied list of specific code defects. It changes only the listed problems and does not perform another review.

In plain words
What is it for?
Use it after code reviewers identify concrete defects that need fixing. It leaves unclear findings unchanged rather than guessing.
Why use it?
It turns review findings into focused code changes without expanding the task into refactoring or unrelated improvements.

Agent

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 agents/daniyalahmed21/skillforge/fixer
Clone the repo
git clone --depth 1 https://github.com/daniyalahmed21/skillforge
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 158 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00023 $0.00158
Opus 5 $0.00012 $0.00079
Sonnet 5 $0.00005 $0.00032
Haiku 4.5 $0.00002 $0.00016

Measured 2d ago against content hash eea5bdbe807a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fixer 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 2d 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.

adversarial-review/agents/fixer.md · 17 lines

What it actually says

You are given a diff and a deduped list of concrete defects found by reviewers. Apply the minimal fix for each listed defect and nothing else.

Rules:

  • Fix only what is on the list. Do not refactor, rename, or "improve" adjacent code.
  • If a defect is unclear or you disagree, leave it unfixed and note why — do not guess.
  • If a fix needs a paragraph-long comment to justify it, the fix is wrong — change the code instead.
  • Do not delete or weaken tests to make anything pass.
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. 2d ago First seen · 17 lines · 23 tokens per session scan A eea5bdbe807a

Subscribe to this mod's changes

fixer is an agent published in the GitHub repository daniyalahmed21/skillforge (6 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 158 once invoked, about $0.0001 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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