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 itdove/devaiflow --skill daf-jira-mcpgit clone --depth 1 https://github.com/itdove/devaiflowWrote 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/itdove/devaiflow/daf-jira-mcp)<a href="https://agentmods.dev/skills/itdove/devaiflow/daf-jira-mcp"><img src="https://agentmods.dev/badge/skills/itdove/devaiflow/daf-jira-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/itdove/devaiflow/daf-jira-mcp"><img src="https://agentmods.dev/badge/skills/itdove/devaiflow/daf-jira-mcp.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 | $0.00020 | $0.03303 |
| Opus 5.5 | $0.00008 | $0.01321 |
| Sonnet 5.5 | $0.00004 | $0.00661 |
| Haiku 4.5 | $0.00002 | $0.00330 |
Grade A, and why
daf-jira-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 1mo 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 — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP JIRA Integration with DevAIFlow Intelligence
When using MCP JIRA tools (e.g., mcp__mcp-atlassian__jira_*), you can leverage DevAIFlow's configuration intelligence to build validated, compliant JIRA operations.
Core Concept
CRITICAL: When using MCP JIRA tools, you MUST read DevAIFlow configuration first.
Unlike daf jira create commands (which are self-contained), MCP tools require you to manually:
- Read configuration via
daf config show --json - Apply validation logic yourself
- Map field names to JIRA field IDs
- Format values based on field types
DevAIFlow configuration provides JIRA field metadata that MCP tools need:
- Field IDs (customfield_12345) mapped to friendly names
- Required fields per issue type
- Allowed values for select/option fields
- Field availability per issue type
- Team/organization defaults
Step-by-Step: Using MCP with daf Intelligence
Step 1: Get Configuration Metadata
# Get complete JIRA configuration
daf config show --json > /tmp/daf-config.json
Key sections in the output:
{
"jira": {
"project": "AAP",
"custom_field_defaults": {
"workstream": "SaaS"
},
"system_field_defaults": {
"components": ["ansible-saas"],
"labels": ["backend"]
},
"field_mappings": {
"acceptance_criteria": {
"id": "customfield_10718",
"name": "Acceptance Criteria",
"type": "string",
"required_for": ["Bug", "Story", "Task", "Epic"],
"available_for": ["Bug", "Story", "Task", "Epic"],
"allowed_values": []
},
"workstream": {
"id": "customfield_12345",
"name": "Workstream",
"type": "option",
"required_for": ["Story", "Task"],
"available_for": ["Story", "Task", "Epic"],
"allowed_values": ["Platform", "SaaS", "Services"]
}
}
}
}
Step 2: Apply Validation Logic
Before calling MCP, validate:
- Field Availability Check
issue_type = "Story" field_name = "workstream" # Check if field is available for this issue type if issue_type not in field_mappings[field_name]["available_for"]: raise Error(f"{field_name} not available for {issue_type}")
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.
- 1mo ago First seen · 409 lines · 20 tokens per session scan A b23793e80f3a
daf-jira-mcp is a skill published in the GitHub repository itdove/devaiflow (2 stars, last pushed 2d ago), licensed Apache-2.0. It adds 20 tokens to every session and 3,303 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 2026-08-31.
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