remediate

A workflow for fixing runtime problems discovered during browser-based application verification. It groups failures by whether they can be fixed automatically and lists issues that need human judgment.

In plain words
What is it for?
Use it after visual verification to repair mechanical runtime issues and then check whether the fixes worked.
Why use it?
It turns a verification report into concrete fixes and makes clear which problems still need manual decisions.

Skill for Claude CodeCodex

Part of the transmuter plugin — 23 skills, 1 command, 7 agents 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/voxtechnologies/transmute-framework/remediate
Any agent
npx skills add VoxTechnologies/transmute-framework --skill remediate
Clone the repo
git clone --depth 1 https://github.com/VoxTechnologies/transmute-framework

Made for: Claude Code, Codex.

Or install transmuter, the plugin that ships this one along with the rest of its 23 skills, 1 command, 7 agents.

Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,412 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 $0.00101 $0.03412
Opus 5 $0.00051 $0.01706
Sonnet 5 $0.00020 $0.00682
Haiku 4.5 $0.00010 $0.00341

Measured 3d ago against content hash 32a4363fb961, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

remediate 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 3d 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/remediate/SKILL.md · 208 lines

How it starts

The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Stage 6R: Runtime Remediation

Read the Stage 6V verification report, categorize every failure by fixability, auto-fix all mechanical issues, and produce a human-review TODO list for issues requiring judgment — then re-verify to confirm fixes work. Lead a multi-agent runtime remediation project using Claude Code Agent Teams.

Read the detailed guide at ${CLAUDE_SKILL_ROOT}/references/remediate-detailed-guide.md for full fixability taxonomy, teammate prompts, safety rules, and report templates.

Prerequisites

  1. Stage 6V must have produced a report: ./plancasting/_audits/visual-verification/report.md must exist. If not, run Stage 6V first.

  2. Feature Scenario Matrix must exist: Verify ./plancasting/_audits/visual-verification/feature-scenario-matrix.md exists (generated by Stage 6V).

  3. 6V gate decision check:

    • 6V PASS: Skip 6R entirely -- proceed to 6P or 6P-R. No failures to remediate.
    • 6V CONDITIONAL PASS with 6V-A/6V-B issues: Proceed with 6R.
    • 6V CONDITIONAL PASS with ONLY 6V-C issues: Skip 6R -- proceed to 6P or 6P-R. 6R cannot fix 6V-C.
    • 6V FAIL: STOP -- fix critical issues manually first, then re-run 6V.
  4. Create output directory:

    mkdir -p ./plancasting/_audits/runtime-remediation
    

Input

  • 6V Verification Report: ./plancasting/_audits/visual-verification/report.md (primary input)
  • Feature Scenario Matrix: ./plancasting/_audits/visual-verification/feature-scenario-matrix.md
  • Codebase: Backend and frontend directories
  • Tech Stack: ./plancasting/tech-stack.md
  • Project Rules: ./CLAUDE.md
  • PRD: ./plancasting/prd/ (for understanding intended behavior)
  • E2E Constants: ./e2e/constants.ts

Check ./plancasting/tech-stack.md for the Session Language setting. Generate all reports in that language. Code and file names remain in English.

Stack Adaptation

Adapt to your plancasting/tech-stack.md: middleware path, route whitelist mechanism, loading state pattern, i18n files, data fetching patterns, backend directory. Replace npm run with your project's package manager per CLAUDE.md.

Read the full file on GitHub · 208 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 3d ago First seen · 208 lines · 101 tokens per session scan A 32a4363fb961

Subscribe to this mod's changes

remediate is a skill published in the GitHub repository VoxTechnologies/transmute-framework (4 stars, last pushed 1mo ago), licensed MIT. It adds 101 tokens to every session and 3,412 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 2026-08-31.

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