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sentry: Skill for Claude Code

.agents/skills/django-models/SKILL.md

django-models is a skill for Claude Code, Codex from getsentry/sentry. It costs 141 tokens per session (2,290 once invoked), scanned A, original, no licence file.

A guide for designing Sentry data models with Django’s object-relational mapper, which maps database records to Python objects.

In plain words
What is it for?
Use it when adding, designing, or refactoring a Django model, including decisions about silos, replication, relocation, and foreign keys.
Why use it?
It helps developers decide how model data should be placed, copied, moved, and linked across Sentry’s architecture.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is getsentry/sentry's own configuration. It tells Claude Code and Codex how to work on sentry 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 sentry configures →

not rated 46krepo +36 today A scan SkillSpector: warn 141 tokens custom licence
View source ↗ getsentry/sentry sentry.io
Reuse

Borrowing it

Nothing to install: this file belongs to getsentry/sentry. 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/getsentry/sentry/master/.agents/skills/django-models/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/getsentry/sentry

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 django-models

README.md
[![agentmods](https://agentmods.dev/badge/skills/getsentry/sentry/django-models/github.svg)](https://agentmods.dev/skills/getsentry/sentry/django-models)
Your own site
<a href="https://agentmods.dev/skills/getsentry/sentry/django-models"><img src="https://agentmods.dev/badge/skills/getsentry/sentry/django-models/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 django-models

Your own site · 80×15
<a href="https://agentmods.dev/skills/getsentry/sentry/django-models"><img src="https://agentmods.dev/badge/skills/getsentry/sentry/django-models.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 141 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,290 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Prompt Injection · line 34
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
How audits are shown
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 $0.00141 $0.02290
Opus 5.5 $0.00056 $0.00916
Sonnet 5.5 $0.00028 $0.00458
Haiku 4.5 $0.00014 $0.00229

Measured 2mo ago against content hash cadb50cad227, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

django-models 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 2mo 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/django-models/SKILL.md · 130 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. 2mo ago First seen · 130 lines · 141 tokens per session scan A cadb50cad227

Subscribe to this mod's changes

django-models is a skill published in the GitHub repository getsentry/sentry (45,719 stars, last pushed today), with no licence file. It adds 141 tokens to every session and 2,290 once invoked, about $0.0006 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 2026-08-30.

DatabasesDevOps and cloudLanguagesPythoncrash-reportingcrash-reportscsp-reporterror-monitoringmonitoring
Related

django-models compared with skills from other repositories

django-models next to 6 skills from other repositories
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django-modelsgetsentry/sentrySkill46ktodaynoneA141Claude Code, Codex
qdrant-clients-sdktruera/trulensSkill3.6ktodayMITA28Claude Code
azure-cosmos-db-pybenjaminasterA/antigravity-awesome-skillsSkill461yesterdayMITA42Claude Code, Codex
azure-cosmos-pybenjaminasterA/antigravity-awesome-skillsSkill461yesterdayMITA0Claude Code, Codex
azure-data-tables-pybenjaminasterA/antigravity-awesome-skillsSkill461yesterdayMITA0Claude Code, Codex
adding-personhog-rpcPostHog/posthogSkill41ktodaynoneA88Claude Code, Codex
alembicTerminalSkills/skillsSkill192yesterdayApache-2.0A54Claude Code, Codex