Borrowing it
Nothing to install: this file belongs to eunsanMountain/atlassian-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/eunsanMountain/atlassian-skills/main/CLAUDE.mdgit clone --depth 1 https://github.com/eunsanMountain/atlassian-skillsWrote 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.
[](https://agentmods.dev/instructions/eunsanmountain/atlassian-skills/claude-md)<a href="https://agentmods.dev/instructions/eunsanmountain/atlassian-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/eunsanmountain/atlassian-skills/claude-md/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.
<a href="https://agentmods.dev/instructions/eunsanmountain/atlassian-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/eunsanmountain/atlassian-skills/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02000 | $0.02000 |
| Opus 5 | $0.01000 | $0.01000 |
| Sonnet 5 | $0.00400 | $0.00400 |
| Haiku 4.5 | $0.00200 | $0.00200 |
Grade A, and why
atlassian-skills CLAUDE.md 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
atlassian-skills — CLAUDE.md
Project Overview
A Python CLI + Claude Code Skill that lets LLM agents drive our internal Atlassian Server/DC stack (Jira, Confluence, Bitbucket, Bamboo) in a token-efficient way. Serves as a complete replacement for the mcp-atlassian MCP server.
- Binary:
atls - Package:
atlassian-skills - Current version: 0.4.3 (a second publish of a document carrying a picture now posts a new attachment version instead of a create Confluence refuses, and
external_imagescounts only the pictures the publish leaves elsewhere)
Build & Run
Release evidence comes from a built wheel in a throwaway venv, never from this working tree.
uv run pytesthere measures the tree, which is not the artifact anyone installs: it can pass over a packaging defect — missing package data, a broken console entry point, a runtime dependency declared only as a dev extra — and an editable install can pass over all three.scripts/wheel_smoke.shis the part of that which lives in this repository and runs in CI.
# Install (uv recommended)
uv sync
# Run the CLI
uv run atls --help
uv run atls jira issue get PROJ-1 --format=compact
# Tests
uv run pytest # unit + contract + snapshot
uv run pytest -m integration # hit live internal instance (manual)
uv run pytest tests/benchmarks # token benchmarks
# Lint & type check
uv run ruff check src/ tests/
uv run ruff format --check src/ tests/
uv run mypy src/
Project Structure
src/atlassian_skills/
├── cli/ # Typer CLI (main.py = entry point, split by product)
├── core/
│ ├── client.py # BaseClient (httpx, retry, auth, pagination)
│ ├── auth.py # PAT/Basic, env > keyring > config
│ ├── config.py # ~/.config/atlassian-skills/config.toml
│ ├── errors.py # AtlasError, exit codes per §15.4
│ ├── pagination.py # offset + link-follow patterns
│ └── format/ # compact, md, json, raw formatters
├── jira/
│ ├── client.py # JiraClient(BaseClient)
│ ├── models.py # pydantic response models
│ └── preprocessing.py # mention / smart-link preprocessing (§5.1.1)
├── confluence/
│ ├── client.py
│ └── models.py
├── bitbucket/
│ ├── client.py # BitbucketClient(BaseClient)
│ └── models.py # pydantic response models (PR, Comment, Branch, Task, etc.)
└── bamboo/ # planned
tests/
├── fixtures/ # MCP capture JSON (golden files)
├── unit/ # respx mocking
├── contract/ # response ↔ pydantic models
├── snapshot/ # syrupy CLI output regression
└── benchmarks/ # tiktoken token measurements
src/atlassian_skills/_assets/skills/atls/SKILL.md # canonical SKILL.md installed by `atls setup` for both Claude Code and Codex
docs/ # design docs and analyses
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.
- 10d ago First seen · 186 lines · 2,000 tokens per session scan A 4fdaeafba643
atlassian-skills CLAUDE.md is an instructions file published in the GitHub repository eunsanMountain/atlassian-skills (21 stars, last pushed 1mo ago), licensed MIT. It adds 2,000 tokens to every session, about $0.0100 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 2026-08-30.
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