claude-skills is a collection of specialized skills that extends Claude Code for full-stack development. Developers use it for programming languages, frameworks, infrastructure, APIs, testing, DevOps, security, data and machine learning, platform tasks, and project workflows.
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.
npx skills add Jeffallan/claude-skills --skill atlassian-mcpgit clone --depth 1 https://github.com/Jeffallan/claude-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/skills/jeffallan/claude-skills/atlassian-mcp)<a href="https://agentmods.dev/skills/jeffallan/claude-skills/atlassian-mcp"><img src="https://agentmods.dev/badge/skills/jeffallan/claude-skills/atlassian-mcp/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/skills/jeffallan/claude-skills/atlassian-mcp"><img src="https://agentmods.dev/badge/skills/jeffallan/claude-skills/atlassian-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
- NVIDIA SkillSpector warn
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 Excessive Agency · line 113 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00075 | $0.01197 |
| Opus 5 | $0.00037 | $0.00598 |
| Sonnet 5 | $0.00015 | $0.00239 |
| Haiku 4.5 | $0.00007 | $0.00120 |
Grade A, and why
atlassian-mcp 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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- atlassian-mcp — 98% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Atlassian MCP Expert
When to Use This Skill
- Querying Jira issues with JQL filters
- Searching or creating Confluence pages
- Automating sprint workflows and backlog management
- Setting up MCP server authentication (OAuth/API tokens)
- Syncing meeting notes to Jira tickets
- Generating documentation from issue data
- Debugging Atlassian API integration issues
- Choosing between official vs open-source MCP servers
Core Workflow
- Select server - Choose official cloud, open-source, or self-hosted MCP server
- Authenticate - Configure OAuth 2.1, API tokens, or PAT credentials
- Design queries - Write JQL for Jira, CQL for Confluence; validate with
maxResults=1before full execution - Implement workflow - Build tool calls, handle pagination, error recovery
- Verify permissions - Confirm required scopes with a read-only probe before any write or bulk operation
- Deploy - Configure IDE integration, test permissions, monitor rate limits
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Server Setup | references/mcp-server-setup.md |
Installation, choosing servers, configuration |
| Jira Operations | references/jira-queries.md |
JQL syntax, issue CRUD, sprints, boards, issue linking |
| Confluence Ops | references/confluence-operations.md |
CQL search, page creation, spaces, comments |
| Authentication | references/authentication-patterns.md |
OAuth 2.0, API tokens, permission scopes |
| Common Workflows | references/common-workflows.md |
Issue triage, doc sync, sprint automation |
Quick-Start Examples
JQL Query Samples
# Open issues assigned to current user in a sprint
project = PROJ AND status = "In Progress" AND assignee = currentUser() ORDER BY priority DESC
# Unresolved bugs created in the last 7 days
project = PROJ AND issuetype = Bug AND status != Done AND created >= -7d ORDER BY created DESC
# Validate before bulk: test with maxResults=1 first
project = PROJ AND sprint in openSprints() AND status = Open ORDER BY created DESC
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 127 lines · 75 tokens per session scan A a2531f7027ce
atlassian-mcp is a skill published in the GitHub repository Jeffallan/claude-skills (11,401 stars, last pushed 1mo ago), licensed MIT. It adds 75 tokens to every session and 1,197 once invoked, about $0.0004 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.
Other skills, from other repositories
gh-create-issue
Use when filing a GitHub issue for a bug, feature, audit, review finding, or investigated piece of work.
ticket-rebuild
Use when rebuilding a bloated tracker item whose epic or Jira ticket hard-codes implementation, restates a spec, or cites counts and line numbers.
worktrees
Use when fanning several tickets into parallel branches and git worktrees, with related tickets grouped together.
situate-refocus
Use when a branch may have drifted from its ticket or pull-request goal and needs its work and gaps reclassified.
situate
Gain situational awareness — read the branch, its diff, its PR, its tickets, and the project's own conventions, and report where the work stands.
business-report-org-wide
Render the tier-1 org-wide projection — explicit adoption and realization inputs, scenario spread, sensitivity ranking, plain-language company close.