govkit-fix-record

govkit-fix-record is a skill for Claude Code, Codex from Accelerated-Innovation/governed-ai-delivery. It costs 42 tokens per session (1,228 once invoked), scanned A, original, no licence file.

A record for fixing a defect while restoring behavior that had already been established.

In plain words
What is it for?
Use it when reporting or planning a bug fix and documenting what behavior must be restored.
Why use it?
It keeps bug fixes focused on correcting a regression or defect without treating changed behavior as a new feature.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it when reporting or planning a bug fix and documenting what behavior must be restored.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/accelerated-innovation/governed-ai-delivery/govkit-fix-record
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.

Any agent
npx skills add Accelerated-Innovation/governed-ai-delivery --skill govkit-fix-record
Clone the repo
git clone --depth 1 https://github.com/Accelerated-Innovation/governed-ai-delivery

Made for: Claude Code, Codex.

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 govkit-fix-record

README.md
[![agentmods](https://agentmods.dev/badge/skills/accelerated-innovation/governed-ai-delivery/govkit-fix-record/github.svg)](https://agentmods.dev/skills/accelerated-innovation/governed-ai-delivery/govkit-fix-record)
Your own site
<a href="https://agentmods.dev/skills/accelerated-innovation/governed-ai-delivery/govkit-fix-record"><img src="https://agentmods.dev/badge/skills/accelerated-innovation/governed-ai-delivery/govkit-fix-record/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 govkit-fix-record

Your own site · 80×15
<a href="https://agentmods.dev/skills/accelerated-innovation/governed-ai-delivery/govkit-fix-record"><img src="https://agentmods.dev/badge/skills/accelerated-innovation/governed-ai-delivery/govkit-fix-record.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,228 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 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 5.1 $0.00042 $0.01228
Opus 5.5 $0.00017 $0.00491
Sonnet 5.5 $0.00008 $0.00246
Haiku 4.5 $0.00004 $0.00123

Measured 21d ago against content hash 67f2fc0d632a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

govkit-fix-record 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 21d 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.

agents/claude-code/skills/backend/govkit-fix-record/SKILL.md · 92 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. 21d ago First seen · 92 lines · 42 tokens per session scan A 67f2fc0d632a

Subscribe to this mod's changes

govkit-fix-record is a skill published in the GitHub repository Accelerated-Innovation/governed-ai-delivery (20 stars, last pushed 5d ago), with no licence file. It adds 42 tokens to every session and 1,228 once invoked, about $0.0002 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 2026-09-26.

Related

Other skills, from other repositories

agenttrace-session-audit

Audit local AI coding-agent sessions with agenttrace for cost, tool failures, latency, anomalies, health, diffs, and CI gates.

sickn33/agentic-awesome-skills · 34 tokens

test-failure-explorer

Import and query an existing Vitest 3.2 JSON report to explore test failures, file-level errors and original diagnostic evidence.

QwenLM/qwen-code · 32 tokens

debug-with-langwatch

Root-cause production errors and misbehaving agent runs with LangWatch. Finds errored traces, inspects spans, checks monitor and evaluator scores, then narrows to a root cause. Use when something is failing or misbehaving in production (errors, bad answers, latency spikes).

langwatch/langwatch · 63 tokens

eval-triage

Investigate failing experiments and evaluations with LangWatch. Triage a failing experiment run to the exact rows and evaluator scores that regressed, then to a root cause. Use when an experiment fails, scores drop, or evaluations regress.

langwatch/langwatch · 51 tokens

oversight-team

Use when you are a seat on the oversight pod (a standing monitor-mode rig that keeps OTHER rigs healthy), configuring or running the drift detectors, or choosing whether to intervene vs escalate. Covers the pull-not-poll posture, the v0 detectors (premature-park, process-drift, off-task, token-burn), the intervention…

mvschwarz/openrig · 117 tokens

anti-entropy-governance

Use when touching retiring old logic, collapsing duplicate owners, removing fallbacks, or schema/persistence/source-of-truth boundaries; identify opportunities automatically; destructive execution requires explicit confirmation.

GanyuanRan/Aegis · 42 tokens