Borrowing it
Nothing to install: this file belongs to openshift/ols. 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/openshift/ols/main/.claude/skills/estimate-epic/SKILL.mdgit clone --depth 1 https://github.com/openshift/olsWrote 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/openshift/ols/estimate-epic)<a href="https://agentmods.dev/skills/openshift/ols/estimate-epic"><img src="https://agentmods.dev/badge/skills/openshift/ols/estimate-epic/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/openshift/ols/estimate-epic"><img src="https://agentmods.dev/badge/skills/openshift/ols/estimate-epic.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 | $0.00058 | $0.00835 |
| Opus 5.5 | $0.00023 | $0.00334 |
| Sonnet 5.5 | $0.00012 | $0.00167 |
| Haiku 4.5 | $0.00006 | $0.00084 |
Grade A, and why
estimate-epic 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 2mo 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Size Epics by Total Story Points
Overview
Set the Size (t-shirt size) field on OLS Epics based on the sum of story points across their child issues. This is a mechanical calculation, not a judgment call — the mapping is fixed.
Usage
/estimate-epic OLS-1234 # size one Epic
/estimate-epic OLS-1234 OLS-1235 # size multiple Epics
/estimate-epic # size ALL unsized open Epics
Also invoked automatically after creating a new Epic.
Size Mapping
| Total SP | Size |
|---|---|
| <= 10 | XS |
| <= 20 | S |
| <= 40 | M |
| <= 60 | L |
| > 60 | XL |
Jira Field Reference
- Size field:
customfield_10795(dropdown) - Option IDs: XS=12589, S=12588, M=12587, L=12586, XL=12585
- Story Points field:
customfield_10028(on child issues) - Cloud ID:
redhat.atlassian.net - Epic Link field for JQL:
"Epic Link"orparent
Workflow
Step 1: Determine target Epics
If arguments provided: Extract all OLS-XXXX keys from the arguments.
If no arguments: Query Jira for all unsized open Epics:
project = OLS AND issuetype = Epic AND resolution = Unresolved AND "Size[Dropdown]" is EMPTY
Step 2: For each Epic
2a. Fetch child issues and their story points
Use searchJiraIssuesUsingJql with:
jql:"Epic Link" = OLS-XXXX OR parent = OLS-XXXXfields:["summary", "customfield_10028", "issuetype"]maxResults: 100
If more than 100 children, paginate.
2b. Sum story points
- Sum
customfield_10028across all children - Count children with null/missing SP separately (for warning)
2c. Map to t-shirt size
Apply the mapping table above. Use this logic:
if total <= 10: XS (option 12589)
elif total <= 20: S (option 12588)
elif total <= 40: M (option 12587)
elif total <= 60: L (option 12586)
else: XL (option 12585)
2d. Set Size on the Epic
Use editJiraIssue with:
cloudId:redhat.atlassian.netissueIdOrKey: the Epic keyfields:{"customfield_10795": {"id": "<option_id>"}}
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.
- 2mo ago Changed · +1 lines f314a4387c5b
- 2mo ago First seen · 100 lines · 58 tokens per session scan A c9cbb9c05c2b
estimate-epic is a skill published in the GitHub repository openshift/ols (3 stars, last pushed 3d ago), licensed Apache-2.0. It adds 58 tokens to every session and 835 once invoked, about $0.0002 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.
estimate-epic compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| estimate-epicopenshift/ols | Skill | 3 | 3d ago | Apache-2.0 | A | 58 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |