Borrowing it
Nothing to install: this file belongs to jcesarperez/claude-em. 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/jcesarperez/claude-em/main/.claude/skills/check-ic-activity/SKILL.mdgit clone --depth 1 https://github.com/jcesarperez/claude-emWrote 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/jcesarperez/claude-em/check-ic-activity)<a href="https://agentmods.dev/skills/jcesarperez/claude-em/check-ic-activity"><img src="https://agentmods.dev/badge/skills/jcesarperez/claude-em/check-ic-activity/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/jcesarperez/claude-em/check-ic-activity"><img src="https://agentmods.dev/badge/skills/jcesarperez/claude-em/check-ic-activity.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 | $0.00043 | $0.01310 |
| Opus 5.5 | $0.00017 | $0.00524 |
| Sonnet 5.5 | $0.00009 | $0.00262 |
| Haiku 4.5 | $0.00004 | $0.00131 |
Grade A, and why
check-ic-activity 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tool
Run this script using the Bash tool:
bash .claude/skills/check-ic-activity/scripts/run_ic_activity.sh <github_username> <jira_email> <from_date> <to_date>
github_username: the user's GitHub handle (e.g.jcesarperez-mews)jira_email: the user's Jira email (e.g.[email protected])from_date: start date inYYYY-MM-DDformat (e.g.2026-02-01)to_date: end date inYYYY-MM-DDformat (e.g.2026-02-28)
To resolve github_username and jira_email for a team member, check data/team_*.csv files first.
Date resolution — convert user expressions to from_date and to_date before calling the script. If no time range is specified, default to the last 14 days:
- (no date specified) → FROM = today - 14 days, TO = today
- "last 14 days" → FROM = today - 14 days, TO = today
- "last month" → FROM = first day of previous month, TO = last day of previous month
- "February 2026" → FROM = 2026-02-01, TO = 2026-02-28
- "this week" → FROM = Monday of current week, TO = today
The script outputs JSON metrics (alphabetically sorted, prefixed by category):
{
"col_avg_time_to_first_review_as_reviewer_hours": number,
"col_reviews": number,
"col_reviews_per_week": number,
"del_issue_cycle_time_days": number,
"del_pr_cycle_time_days": number,
"del_commits": number,
"del_commits_per_pr": number,
"del_issues_by_type": { "Bug": number, "Story": number, "Task": number, ... },
"del_issues_completed": number,
"del_issues_per_week": number,
"del_prs_merged": number,
"del_prs_per_week": number,
"del_total_loc": number,
"foc_open_prs": number,
"foc_wip_count": number,
"period_days": number,
"qua_avg_pr_size": number,
"qua_comments_per_pr": number,
"qua_prs_cancelled": number
}
Instructions
- Look up the user's
github_usernameandjira_emailfromdata/team_*.csv - Run the script with the Bash tool
- Analyze the returned metrics
- Produce a structured report with scoring and recommendations
What ships with it
1 file 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.
- 2mo ago First seen · 152 lines · 43 tokens per session scan A 53df3073bb09
check-ic-activity is a skill published in the GitHub repository jcesarperez/claude-em (95 stars, last pushed 4mo ago), licensed MIT. It adds 43 tokens to every session and 1,310 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 2026-08-30.
check-ic-activity compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| check-ic-activityjcesarperez/claude-em | Skill | 95 | 4mo ago | MIT | A | 43 | 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 | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |