sova: Skill for Claude Code

.agents/skills/sova-ingest-review/SKILL.md

sova-ingest-review is a skill for Claude Code, Codex from xsovad06/sova. It costs 22 tokens per session (1,823 once invoked), scanned A, original, Apache-2.0.

A workflow that reads structured pull-request review records and stores the findings in the agent's project memory. Review feedback is comments and requested changes from people checking a proposed code change.

In plain words
What is it for?
Use it to record reviewer findings from a pull request so later agent work can use those lessons.
Why use it?
It prevents useful lessons from being lost after a review and checks the supplied pull-request number before using it in database queries.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is xsovad06/sova's own configuration. It tells Claude Code and Codex how to work on sova itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything sova configures →

Reuse

Borrowing it

Nothing to install: this file belongs to xsovad06/sova. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/xsovad06/sova/main/.agents/skills/sova-ingest-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/xsovad06/sova

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 sova-ingest-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/xsovad06/sova/sova-ingest-review/github.svg)](https://agentmods.dev/skills/xsovad06/sova/sova-ingest-review)
Your own site
<a href="https://agentmods.dev/skills/xsovad06/sova/sova-ingest-review"><img src="https://agentmods.dev/badge/skills/xsovad06/sova/sova-ingest-review/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 sova-ingest-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/xsovad06/sova/sova-ingest-review"><img src="https://agentmods.dev/badge/skills/xsovad06/sova/sova-ingest-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,823 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 $0.00022 $0.01823
Opus 5.5 $0.00009 $0.00729
Sonnet 5.5 $0.00004 $0.00365
Haiku 4.5 $0.00002 $0.00182

Measured 14d ago against content hash 0f3024edc59d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sova-ingest-review 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 14d 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/skills/sova-ingest-review/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ingest PR Review Feedback

Parse structured review findings from TaskRun records and update agent memory.

Instructions

  1. Get the PR number from the arguments provided when this skill is invoked. If empty, ask the user. Validate it is a positive integer before using it anywhere below: reject non-numeric input and ask the user to clarify rather than passing raw argument text into generated code. <PR_NUMBER> in every snippet in this command means this validated integer, never the raw the arguments provided when this skill is invoked text.

  2. Query the database for reviewer TaskRun records linked to this PR. Substitute the validated integer for <PR_NUMBER>: it becomes part of a Python expression evaluated via python3 -c, so unvalidated text here is a code injection risk, not just a bad query:

    # Find the reviewer run's handoff data
    python3 -c "
    import asyncio, json, os
    os.environ.setdefault('SOVA_DATABASE_URL', 'sqlite+aiosqlite:///.claude/sova.db')
    from sova.db.session import init_db, get_session
    from sova.db.models import TaskRun
    from sqlalchemy import select
    
    async def main():
        await init_db(run_migrations=False)
        async with await get_session() as session:
            stmt = select(TaskRun).where(
                TaskRun.pr_number == <PR_NUMBER>,
                TaskRun.role.in_(['reviewer', 'command:review-pr']),
                TaskRun.status == 'done',
            ).order_by(TaskRun.id.desc()).limit(1)
            run = (await session.execute(stmt)).scalar_one_or_none()
            if not run or not run.handoff_json:
                print('NO_FINDINGS')
                return
            print(json.dumps(run.handoff_json, indent=2))
    
    asyncio.run(main())
    "
    
  3. If the output is NO_FINDINGS, do not stop here: the SOVA reviewer may simply not have run a TaskRun for this PR while external reviewers (CodeRabbit, human reviewers) still left comments. Continue to step 4 (there is nothing to parse from this source, so skip it) and step 5. Only report "No reviewer findings found for PR #N (no SOVA reviewer TaskRun and no external review comments)" and stop if step 5 also finds nothing.

Read the full file on GitHub · 114 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. 14d ago Changed · +20 lines 0f3024edc59d
  2. 16d ago Changed e170172737d1
  3. 22d ago First seen · 94 lines · 22 tokens per session scan A 1e658eff65bf

Subscribe to this mod's changes

sova-ingest-review is a skill published in the GitHub repository xsovad06/sova (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 22 tokens to every session and 1,823 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 2026-10-08.