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 opendatahub-io/ai-helpers --skill jira-workitem-commentgit clone --depth 1 https://github.com/opendatahub-io/ai-helpersWrote 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/opendatahub-io/ai-helpers/jira-workitem-comment)<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/jira-workitem-comment"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/jira-workitem-comment/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/opendatahub-io/ai-helpers/jira-workitem-comment"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/jira-workitem-comment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00044 | $0.02010 |
| Opus 5 | $0.00022 | $0.01005 |
| Sonnet 5 | $0.00009 | $0.00402 |
| Haiku 4.5 | $0.00004 | $0.00201 |
Grade A, and why
jira-workitem-comment 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.
How it starts
The opening of the file, as written. The whole thing — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jira Workitem Comment
Add comments to Jira tickets using the acli CLI with support for both simple text and rich Atlassian Document Format (ADF).
Prerequisites
aclimust be installed and authenticated (acli jira auth)
Implementation
Step 1: Verify ACLi Setup
Before proceeding, verify that acli is installed and authenticated by invoking the acli-setup-check skill:
/acli-setup-check
If the setup check fails, stop execution and guide the user to fix the issue.
Step 2: Determine Ticket Key and Comment Content
-
Ticket Key:
- If provided by user, use it
- Otherwise, search conversation history for ticket references matching the pattern
[A-Z]+-\d+ - If not found, ask: "Which ticket should I comment on?"
-
Comment Content:
- If the user provides comment text, use it
- If the user wants to document a conversation or finding, infer the content from context
- If unclear, ask: "What would you like to say in the comment?"
-
Comment Type:
- Simple text: Default for straightforward comments
- Rich format: Use when comment includes code blocks, lists, or structured content
Step 3a: Add Simple Text Comment (Default)
For plain text comments, write the comment text to a temporary file and use acli to create the comment:
# Validate ticket key format (PROJECT-NUMBER)
TICKET_KEY="<ticket-key-from-step-2>"
if [[ ! "$TICKET_KEY" =~ ^[A-Z]+-[0-9]+$ ]]; then
echo "Error: Invalid ticket key format. Expected PROJECT-NUMBER (e.g., AIPCC-1234)"
exit 1
fi
# Write comment to temp file (uses system temp directory)
TMPFILE=$(mktemp -t acli-comment-XXXX.txt)
cat > "$TMPFILE" << 'EOF'
<comment text goes here>
EOF
# Create the comment with validated ticket key
acli jira workitem comment create --key "$TICKET_KEY" --body-file "$TMPFILE"
# Clean up
rm -f "$TMPFILE"
Step 3b: Add Rich ADF Comment (For Formatted Content)
For comments that need rich formatting (code blocks, lists, mentions, links), construct an ADF JSON structure.
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 · 310 lines · 44 tokens per session scan A bf35e91f22ae
jira-workitem-comment is a skill published in the GitHub repository opendatahub-io/ai-helpers (37 stars, last pushed 4d ago), licensed Apache-2.0. It adds 44 tokens to every session and 2,010 once invoked, about $0.0002 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
parallel-feature-development
Coordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation. Use this skill when decomposing a large feature into independent work streams, when two or more agents need to implement different layers of the same system…
saga-orchestration
Implement saga patterns for distributed transactions and cross-aggregate workflows. Use this skill when implementing distributed transactions across microservices where 2PC is unavailable, designing compensating actions for failed order workflows that span inventory, payment, and shipping services, building…
task-coordination-strategies
Decompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.
bazel-build-optimization
Optimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases.
nx-workspace-patterns
Configure and optimize Nx monorepo workspaces. Use when setting up Nx, configuring project boundaries, optimizing build caching, or implementing affected commands.
context-driven-development
Creates and maintains project context artifacts (product.md, tech-stack.md, workflow.md, tracks.md) in a conductor/ directory. Scaffolds new projects from scratch, extracts context from existing codebases, validates artifact consistency before implementation, and synchronizes documents as the project evolves. Use when…