agami-save-correction

agami-save-correction is a skill for Claude Code from redseerdigital/redseer_mcp_trail. It costs 121 tokens per session (7,567 once invoked), scanned B, original, no licence file.

A correction recorder for a data-querying system that stores a user's question together with the corrected SQL query. SQL is the language commonly used to retrieve data from databases.

In plain words
What is it for?
Use it after correcting a query to add the example to the relevant library and apply a focused semantic-model correction when appropriate.
Why use it?
It preserves fixes so later answers can learn from them and, when relevant, updates the system's understanding of data relationships or columns.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the agami-core plugin — 7 skills shipped together

Good fit Use it after correcting a query to add the example to the relevant library and apply a focused semantic-model correction when appropriate.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/redseerdigital/redseer_mcp_trail/agami-save-correction
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 redseerdigital/redseer_mcp_trail --skill agami-save-correction
Clone the repo
git clone --depth 1 https://github.com/redseerdigital/redseer_mcp_trail

Made for: Claude Code.

Or install agami-core, the plugin that ships this one along with the rest of its 7 skills.

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 agami-save-correction

README.md
[![agentmods](https://agentmods.dev/badge/skills/redseerdigital/redseer_mcp_trail/agami-save-correction/github.svg)](https://agentmods.dev/skills/redseerdigital/redseer_mcp_trail/agami-save-correction)
Your own site
<a href="https://agentmods.dev/skills/redseerdigital/redseer_mcp_trail/agami-save-correction"><img src="https://agentmods.dev/badge/skills/redseerdigital/redseer_mcp_trail/agami-save-correction/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 agami-save-correction

Your own site · 80×15
<a href="https://agentmods.dev/skills/redseerdigital/redseer_mcp_trail/agami-save-correction"><img src="https://agentmods.dev/badge/skills/redseerdigital/redseer_mcp_trail/agami-save-correction.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,567 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00121 $0.07567
Opus 5 $0.00060 $0.03784
Sonnet 5 $0.00024 $0.01513
Haiku 4.5 $0.00012 $0.00757

Measured 10d ago against content hash 203907a96656, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade B, and why

agami-save-correction scanned grade B with 1 finding 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 10d 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

For `org_context` / `user_preference` corrections (ORGANIZATION.md / USER_MEMORY.md only): no validator step. Write the file directly with `chmod 600`.
plugins/agami/skills/agami-save-correction/SKILL.md · 409 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. 10d ago First seen · 409 lines · 121 tokens per session scan B 203907a96656

Subscribe to this mod's changes

agami-save-correction is a skill published in the GitHub repository redseerdigital/redseer_mcp_trail (0 stars, last pushed 1mo ago), with no licence file. It adds 121 tokens to every session and 7,567 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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