ai-sdlc-pilot-update

ai-sdlc-pilot-update is a skill for Claude Code from openshift-online/gcp-hcp. It costs 37 tokens per session (1,858 once invoked), scanned A, original, Apache-2.0.

A scheduled reporting procedure for the Agentic SDLC pilot, a project testing AI-assisted software development practices.

In plain words
What is it for?
Use it to collect activity, draft a biweekly update for Jira issue GCP-579, ask for input on subjective parts, and post the finished comment.
Why use it?
It gathers recent work from Jira and GitHub so progress updates do not have to be assembled manually.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: model in frontmatter; mentions CLAUDE.md; names the AskUserQuestion tool.

Part of the gcp-hcp plugin — 4 skills, 2 commands, 2 agents shipped together

Good fit Use it to collect activity, draft a biweekly update for Jira issue GCP-579, ask for input on subjective parts, and post the finished comment.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openshift-online/gcp-hcp/ai-sdlc-pilot-update
Install

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.

Any agent
npx skills add openshift-online/gcp-hcp --skill ai-sdlc-pilot-update
Clone the repo
git clone --depth 1 https://github.com/openshift-online/gcp-hcp

Made for: Claude Code.

Or install gcp-hcp, the plugin that ships this one along with the rest of its 4 skills, 2 commands, 2 agents.

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 ai-sdlc-pilot-update

README.md
[![agentmods](https://agentmods.dev/badge/skills/openshift-online/gcp-hcp/ai-sdlc-pilot-update/github.svg)](https://agentmods.dev/skills/openshift-online/gcp-hcp/ai-sdlc-pilot-update)
Your own site
<a href="https://agentmods.dev/skills/openshift-online/gcp-hcp/ai-sdlc-pilot-update"><img src="https://agentmods.dev/badge/skills/openshift-online/gcp-hcp/ai-sdlc-pilot-update/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 ai-sdlc-pilot-update

Your own site · 80×15
<a href="https://agentmods.dev/skills/openshift-online/gcp-hcp/ai-sdlc-pilot-update"><img src="https://agentmods.dev/badge/skills/openshift-online/gcp-hcp/ai-sdlc-pilot-update.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,858 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.
Origin original 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 $0.00037 $0.01858
Opus 5 $0.00018 $0.00929
Sonnet 5 $0.00007 $0.00372
Haiku 4.5 $0.00004 $0.00186

Measured 11d ago against content hash 933b98972bbf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ai-sdlc-pilot-update 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 11d 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.

claude-plugin/gcp-hcp/skills/ai-sdlc-pilot-update/SKILL.md · 175 lines

How it starts

The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agentic SDLC Pilot Update Skill

Gather data from Jira and GitHub, draft a biweekly update comment, get user input on subjective sections, and post the final comment to GCP-579.

Tracking issue: GCP-579 ("Establish AI-Native Developer Experience — Agentic SDLC Pilot") Deadline: June 30, 2026


Phase 1: Gather Jira Activity (BFS traversal)

Determine the lookback window. Default is 14 days. If $days was provided, use that value instead. If $days is missing, non-numeric, or less than 1, fall back to 14.

Compute:

  • end_date = today's date
  • start_date = today minus lookback days

BFS traversal starting at GCP-579:

Use a queue-based BFS. Start with ["GCP-579"]. Before traversal, fetch and store GCP-579's own fields (summary, description, status, issuetype, assignee, created, updated). For each key in the queue:

  1. Search Jira for direct children using JQL: parent = KEY ORDER BY updated DESC
    • Fetch up to 50 results per query; paginate if more exist (pagination applies per parent-key search, not once globally)
  2. Fetch each child's key, summary, description, status, assignee, issuetype, created, updated fields
  3. Add each child's key to the queue
  4. Continue until the queue is empty

After collecting all keys in the hierarchy (including GCP-579 itself, with fields stored for each):

For each discovered key (in groups of 20), fetch the issue's changelog and extract status transitions. Filter transitions to those whose timestamp falls within the lookback window.

Classify findings:

  • Completed issues: status transitioned to "Done", "Closed", or "Resolved" within the window
  • Created issues: created field is within the window
  • Status transitions: any status change within the window (excluding completions)
  • Blocked issues: status is "Blocked" or summary/description contains "blocked" (case-insensitive)

Phase 2: Gather GitHub Activity

Repos to search:

  • openshift-online/gcp-hcp
  • openshift-online/gcp-hcp-infra
  • openshift-eng/ai-helpers
  • openshift-online/gcp-hcp-priv (may have restricted access; skip gracefully if unavailable)

Read the full file on GitHub · 175 lines

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. 11d ago First seen · 175 lines · 37 tokens per session scan A 933b98972bbf

Subscribe to this mod's changes

ai-sdlc-pilot-update is a skill published in the GitHub repository openshift-online/gcp-hcp (2 stars, last pushed 3d ago), licensed Apache-2.0. It adds 37 tokens to every session and 1,858 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 2026-08-31.

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