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 agentmods add skills/saidsef/mcp-github-pr-issue-analyser/user-activitynpx skills add saidsef/mcp-github-pr-issue-analyser --skill user-activitygit clone --depth 1 https://github.com/saidsef/mcp-github-pr-issue-analyserWrote 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/saidsef/mcp-github-pr-issue-analyser/user-activity)<a href="https://agentmods.dev/skills/saidsef/mcp-github-pr-issue-analyser/user-activity"><img src="https://agentmods.dev/badge/skills/saidsef/mcp-github-pr-issue-analyser/user-activity.svg" alt="Measured on agentmods" 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 | $0.00023 | $0.02012 |
| Opus 5 | $0.00012 | $0.01006 |
| Sonnet 5 | $0.00005 | $0.00402 |
| Haiku 4.5 | $0.00002 | $0.00201 |
Grade A, and why
user-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 5d 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Activity
Find the repositories an account owns, then retrieve a user's profile, their contributions (commits, PRs, issues, reviews), and star growth per repository.
Prerequisites
- The target GitHub
username, or the owner whose repositories you want - GitHub token with
read:userscope, since most of these tools use the GraphQL API
search_user, get_user_activities and get_repo_stars_since run as long-running
tasks and report progress while they work. list_repos is a plain read.
Workflow
- Find the repository - call
list_reposwhen you do not already know the name - Look up the profile - call
search_userto confirm the user exists and get context - Retrieve contributions - call
get_user_activities, optionally filtered by org, repo or date range - Measure star growth - call
get_repo_stars_sincewhen the question is about stars in a time window
list_repos
| Parameter | Type | Default | Description |
|---|---|---|---|
owner |
str | "" |
User or organisation. Omit for the caller's own |
sort |
str | updated |
One of updated, pushed, created, full_name |
per_page |
int | 30 |
Results per page, 1 to 100 |
page |
int | 1 |
Page number |
Returns {"total": int, "repos": [...]}, each entry carrying name, owner,
description, default_branch, private, fork, archived, pushed_at
and html_url. total counts the page returned, not everything the owner has.
You do not say whether the owner is a person or an organisation, because the tool reads the account type and picks the endpoint itself. That matters: GitHub's organisation endpoint returns 404 for a person, and its user endpoint accepts an organisation but returns only its public repositories.
Omitting owner is the only way to see private repositories you own. Passing
your own username instead reads the public listing and quietly leaves them out.
An organisation's private and internal repositories do appear, for a token
entitled to see them.
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.
- 5d ago First seen · 156 lines · 23 tokens per session scan A ff6e6934d7f7
user-activity is a skill published in the GitHub repository saidsef/mcp-github-pr-issue-analyser (6 stars, last pushed 3d ago), licensed Apache-2.0. It adds 23 tokens to every session and 2,012 once invoked, about $0.0001 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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