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/henryiii/skills/explore-issuesnpx skills add henryiii/skills --skill explore-issuesgit clone --depth 1 https://github.com/henryiii/skillsWrote 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/henryiii/skills/explore-issues)<a href="https://agentmods.dev/skills/henryiii/skills/explore-issues"><img src="https://agentmods.dev/badge/skills/henryiii/skills/explore-issues.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 | $0.00034 | $0.00999 |
| Opus 5 | $0.00017 | $0.00500 |
| Sonnet 5 | $0.00007 | $0.00200 |
| Haiku 4.5 | $0.00003 | $0.00100 |
Grade A, and why
explore-issues 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 3d 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exploring GitHub Issues
Mirror a repo's issues into a local SQLite database, then answer questions about them with SQL and by reading issue bodies. Working locally avoids API rate limits and lets you query and re-read issues cheaply.
Step 1: Download the issues
Find the repo as owner/name. If the user didn't name one, use the current
directory's repo: gh repo view --json nameWithOwner --jq .nameWithOwner.
Store the database outside the repo so it can't be committed, then download:
scripts/github-issues-to-sqlite.py <owner>/<name> -c -d /tmp/<owner>-<name>-issues.db
Options worth knowing:
-calso fetches comment bodies. Include it; comments often hold the answer.-s all(orclosed) if the user's question covers closed issues; the default is open only.--include-prsif the user wants pull requests too.- Re-running the same command refreshes the database (it upserts). If the database already exists from earlier in the session, refresh instead of re-exploring stale data.
--schemaprints the schema.
Step 2: Get oriented
Tables: issues (number, title, state, state_reason, body, author, milestone,
comments, is_pull, locked, html_url, created_at, updated_at, closed_at),
labels and assignees (issue_number, name/login), comments
(issue_number, author, body, created_at).
Start with a shape check before reading anything:
sqlite3 /tmp/<name>-issues.db "SELECT count(*) FROM issues;
SELECT name, count(*) FROM labels GROUP BY name ORDER BY 2 DESC;"
If sqlite3 is missing, run queries through python3 -c with the sqlite3
module instead.
Step 3: Explore
Use SQL to narrow, then read the survivors in full. Useful patterns:
-- Unlabeled issues (often the triage backlog)
SELECT number, title FROM issues WHERE state='open' AND is_pull=0
AND number NOT IN (SELECT issue_number FROM labels);
-- Keyword search across bodies and comments
SELECT DISTINCT i.number, i.title FROM issues i
LEFT JOIN comments c ON c.issue_number = i.number
WHERE i.body LIKE '%segfault%' OR c.body LIKE '%segfault%';
-- Oldest open, most-discussed, etc.
SELECT number, title, comments FROM issues WHERE state='open'
ORDER BY comments DESC LIMIT 20;
What ships with it
2 files 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.
- 3d ago First seen · 112 lines · 34 tokens per session scan A 44f9978fef42
explore-issues is a skill published in the GitHub repository henryiii/skills (9 stars, last pushed 20d ago), licensed MIT. It adds 34 tokens to every session and 999 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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