Borrowing it
Nothing to install: this file belongs to phase-rs/phase. 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/phase-rs/phase/main/.claude/skills/changelog/SKILL.mdgit clone --depth 1 https://github.com/phase-rs/phaseWrote 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/phase-rs/phase/changelog)<a href="https://agentmods.dev/skills/phase-rs/phase/changelog"><img src="https://agentmods.dev/badge/skills/phase-rs/phase/changelog.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.01813 |
| Opus 5 | $0.00028 | $0.00907 |
| Sonnet 5 | $0.00011 | $0.00363 |
| Haiku 4.5 | $0.00006 | $0.00181 |
Grade A, and why
changelog scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Changelog
Generate a user-facing Discord changelog from git history. The input may be empty, a date/time, a commit ref, a tag, or a sequential "next batch" request.
Range Selection
Always run git fetch origin first and use origin/main unless the user names another branch.
Do not use git log --since as authoritative in this repo. Squash-merge commit dates are non-monotonic, and --since can silently drop commits. Use one of these methods:
- Commit hash or tag: use graph reachability.
git log --no-merges <ref>..origin/main --format="%h %s" | cat -n - Date/time: convert the user input to a Unix epoch yourself, then filter
%ct.cutoff=$(date -j -f "%Y-%m-%dT%H:%M:%S %z" "2026-05-22T21:05:00 -0700" "+%s") git log origin/main --no-merges --format="%ct %cI %h %s" \ | awk -v c="$cutoff" '$1 >= c' | sort -rn | cat -n - Empty input: default to the last seven days using the same epoch-filter method.
If no timezone is supplied, assume Mountain Time and state the offset used. Convert named timezones yourself before computing the epoch.
Commit Reading
Read commit bodies, not only subjects, for every non-obvious commit:
git show -s --format="%s%n%n%b" <hash>
Cross-check the final changelog against the full commit count so no commit is silently dropped.
Writing Rules
- Output the changelog in a single fenced code block.
- Start with
🎴 What's New in phase.rs. - Use emoji-headed sections only when they have content, usually in this order:
✨ New Cards & Mechanics🛠️ Cards That Now Work Right⚔️ Combat & Gameplay🖥️ Interface🌍 Localization- Other sections such as
🤖 AIor🌐 Multiplayerwhen warranted.
- Use
•bullets. - Consolidate related commits; do not mirror commits one-to-one.
- Use player-facing language. Avoid implementation descriptions unless needed for clarity.
- Name concrete cards or mechanics in parentheses when helpful.
- Order by user impact.
- Omit internal-only changes unless they have visible impact.
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.
- 8d ago First seen · 157 lines · 55 tokens per session scan A b87f9c36947a
changelog is a skill published in the GitHub repository phase-rs/phase (268 stars, last pushed today), licensed Apache-2.0. It adds 55 tokens to every session and 1,813 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
anarlog
Query Anarlog meetings, notes, summaries, transcripts, participants, action items, and recurring history. Use when a user asks about their Anarlog meeting data or needs meeting context for another task.
issue-triage
Read all open issues (GitHub/GitLab), categorize by type and effort, plan batch implementation order, and coordinate implementation across multiple issues in a single PR/MR. Auto-detects platform from git remote. Use when asked to "implement all issues", "fix all open issues", "batch implement", or "address all…
atomic-commit
Atomic git workflow - validates, commits, pushes, creates PR/MR, and verifies CI with zero-warnings policy. Orchestrates complete code submission as state machine with rollback on failure. Supports GitHub (gh) and GitLab (glab). Triggers: "commit changes", "push and create PR", "submit code", "atomic commit".
self-fix-loop
Self-learning fix loop - commit, push, monitor CI, auto-fix failures using swarm agents with skills on demand, loop until all checks pass. Supports GitHub Actions and GitLab CI. Use when CI fails and you need to iteratively fix until green. Triggers: "fix CI", "loop until green", "auto-fix failures", "self-fix".
skillify
Auto-create new skills from repetitive workflows. When you notice yourself doing the same multi-step process repeatedly, extract it into a reusable SKILL.md that any agent can use.
deployment-procedures
Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.