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 skills add AlirezaSoltaniJazi/Skillnir --skill githubgit clone --depth 1 https://github.com/AlirezaSoltaniJazi/SkillnirWrote 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/alirezasoltanijazi/skillnir/github)<a href="https://agentmods.dev/skills/alirezasoltanijazi/skillnir/github"><img src="https://agentmods.dev/badge/skills/alirezasoltanijazi/skillnir/github/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/alirezasoltanijazi/skillnir/github"><img src="https://agentmods.dev/badge/skills/alirezasoltanijazi/skillnir/github.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 | $0.00128 | $0.02719 |
| Opus 5.5 | $0.00051 | $0.01088 |
| Sonnet 5.5 | $0.00026 | $0.00544 |
| Haiku 4.5 | $0.00013 | $0.00272 |
Grade A, and why
github 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 1mo 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Before You Start
Read LEARNED.md first. It holds corrections, preferences, and per-repo conventions (branch style, base branch, PR-template path, label taxonomy, the linked Jira review status) discovered in previous sessions. Every rule there overrides defaults in this skill.
Announce skill usage. Say "Using: github skill" at the very start of your response before doing any work.
Preflight: run gh auth status. Note the token's scopes — if it lacks project, never pass gh pr create -p (adding a PR to a GitHub Project needs that scope).
When to Use
- Raising a pull request following the repo's convention
- Creating a convention-named branch for a Jira ticket
- Committing with the repo's ticket-prefixed subject format
- Building a PR body from the diff + the repo's PR template
- Applying labels / milestone and updating the linked Jira ticket
Do NOT Use
- GitLab merge requests — use gitlab (wrong platform;
ghcan't open MRs). - Creating or transitioning Jira tickets as the primary task — use jira. This skill only updates the linked ticket at the end of the PR flow.
- CI/CD workflow files (
.github/workflows/), pre-commit, quality gates — use devopsEngineer (workflow/pipeline YAML is a different concern from raising a PR). - Never add file paths / code to the Jira ticket — keep the ticket non-technical; technical detail goes in the PR body.
Access & Convention Detection
| Fact | Value |
|---|---|
| Tool | gh CLI (authenticated) + git |
| Owner / repo | Auto-resolved from the current repo — never hardcode |
| Default branch | Detect, don't assume |
| Token scopes | From gh auth status — no project ⇒ never gh pr create -p |
What ships with it
9 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.
- INJECT.md 568 B
- LEARNED.md 648 B
- references/ai-interaction-guide.md 6.3 KB
- references/branch-naming.md 3.9 KB
- references/commit-conventions.md 4.7 KB
- references/labels-and-milestones.md 4.1 KB
- references/pr-recipes.md 5.7 KB
- references/pr-templates.md 7.9 KB
- scripts/validate-github.sh 931 B runs code
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.
- 1mo ago Changed 6ad9a920acbb
- 2mo ago First seen · 139 lines · 128 tokens per session scan A 1796b25610c3
github is a skill published in the GitHub repository AlirezaSoltaniJazi/Skillnir (9 stars, last pushed 12d ago), licensed MIT. It adds 128 tokens to every session and 2,719 once invoked, about $0.0005 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.
github compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| githubAlirezaSoltaniJazi/Skillnir | Skill | 9 | 12d ago | MIT | A | 128 | Claude Code |
| review-implement-phaseprisma/orm | Skill | 48k | yesterday | Apache-2.0 | A | 38 | Claude Code |
| github-pr-workflowpaperclipai/paperclip | Skill | 111k | yesterday | MIT | A | 39 | Claude Code, Codex |
| review-deltatirth8205/code-review-graph | Skill | 33k | 8d ago | MIT | A | 24 | Claude Code |
| github-contributordaymade/claude-code-skills | Skill | 1.5k | yesterday | MIT | A | 105 | Claude Code, Codex |
| hero-diff-highlightUnclecheng-li/AI_Animation | Skill | 1.7k | 11d ago | MIT | A | 0 | Claude Code, Codex |
| lean-reviewSnowflake-Labs/cocoplus | Skill | 727 | 2d ago | MIT | A | 44 | Claude Code |