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 tykisgod/quick-question --skill timelinegit clone --depth 1 https://github.com/tykisgod/quick-questionWrote 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/tykisgod/quick-question/timeline)<a href="https://agentmods.dev/skills/tykisgod/quick-question/timeline"><img src="https://agentmods.dev/badge/skills/tykisgod/quick-question/timeline/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/tykisgod/quick-question/timeline"><img src="https://agentmods.dev/badge/skills/tykisgod/quick-question/timeline.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00026 | $0.02209 |
| Opus 5.5 | $0.00010 | $0.00884 |
| Sonnet 5.5 | $0.00005 | $0.00442 |
| Haiku 4.5 | $0.00003 | $0.00221 |
Grade A, and why
timeline 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 13d 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 — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Respond in the user's preferred language (detect from their recent messages, or fall back to the language setting in CLAUDE.md).
Arguments: $ARGUMENTS
- No arguments: compare against the default base branch (develop if it exists, else main, else master)
--base <branch>: specify a custom base branch for comparison
Execution Steps
1. Collect Commit History
git log <base>..HEAD --oneline --reverse --format="%h %ai %s"
2. Group Commits into Semantic Phases
Grouping criteria (in order of priority):
- Semantic affinity: consecutive commits on the same feature/subsystem go in the same group
- Natural breakpoints: merge commits, date gaps > 1 day, module switches
- Phase markers in commit messages: if a commit self-annotates with a Phase, respect that first
Give each Phase a semantic name (e.g. "Player Health System", not "Phase 1"). Target 5–10 Phases (too few loses the timeline's value; too many becomes per-commit annotation); a Phase of more than 15 commits may be split into sub-phases. Grouping is the judgment the whole document rests on — settle it before writing.
3. Analyze Changes per Phase
For each Phase:
git diff <phase_first_commit>~1..<phase_last_commit> --stat
git diff <phase_first_commit>~1..<phase_last_commit> -- '*.cs'
Read the full content of key changed files to understand context — not just diff fragments.
4. Generate Document A: Architecture Evolution Timeline
Format:
# Architecture Evolution Timeline
> X phases, Y commits, Z-day development span
> Branch: `<branch>`, base: `<base>`
---
## Phase 1: <Semantic Name> (<date range>, N commits)
> One-sentence summary
<details>
<summary>Commits</summary>
- `hash1` message1
- `hash2` message2
</details>
### Architecture Changes
#### [Tier 1] Change Title (if any)
**Scope**: ...
**Nature of change**: ...
\```mermaid
<diagram of this phase's changes>
\```
#### [Tier 2] Change Title (if any)
...
### Dependencies Introduced This Phase
- `ModuleA` → `ModuleB` (new reference)
### Cumulative State
> Overall progress to this point: X completed, next phase will Y
---
## Phase 2: <Semantic Name> ...
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.
- 13d ago Changed · -17 lines 70028b363f7c
- 1mo ago First seen · 281 lines · 26 tokens per session scan A a9cc0959fd73
timeline is a skill published in the GitHub repository tykisgod/quick-question (12 stars, last pushed 3d ago), licensed MIT. It adds 26 tokens to every session and 2,209 once invoked, about $0.0001 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.
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