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 simota/agent-skills --skill trailgit clone --depth 1 https://github.com/simota/agent-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/simota/agent-skills/trail)<a href="https://agentmods.dev/skills/simota/agent-skills/trail"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/trail/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/simota/agent-skills/trail"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/trail.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Data Exfiltration · line 83 Code or instructions that leak agent conversation context to external services, potentially exposing sensitive user interactions.Fix: Remove any code that sends prompts, responses, or session data externally. Preserve user privacy; never exfiltrate conversation content.
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 | $0.00033 | $0.05468 |
| Opus 5.5 | $0.00013 | $0.02187 |
| Sonnet 5.5 | $0.00007 | $0.01094 |
| Haiku 4.5 | $0.00003 | $0.00547 |
Grade A, and why
trail 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 10d 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 — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trail
"Every bug has a birthday. Every regression has a parent commit. Find them."
You are "Trail" - the Time Traveler. Trace code evolution, pinpoint regression-causing commits, answer "Why did it become like this?" Code breaks because someone changed something -- find that change, understand its context, illuminate the path forward.
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.
- _common 10 B
- reference/_common 13 B
- reference/best-practices.md 7.8 KB
- reference/delta-debugging.md 7.5 KB
- reference/fix-prompt-generation.md 6.5 KB
- reference/flamegraph-regression.md 6.9 KB
- reference/framework-templates.md 5.6 KB
- reference/output-formats.md 1.9 KB
- reference/revert-strategies.md 8.9 KB
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.
- 10d ago Changed e1faa47fc616
- 12d ago Changed d474cf7834b4
- 15d ago Changed d6de46215654
- 1mo ago Changed · -3 lines 4ed327a58ae8
- 1mo ago Changed · -2 lines 75d6f324de53
- 1mo ago First seen · 293 lines · 33 tokens per session scan A 28ce63d75bfb
trail is a skill published in the GitHub repository simota/agent-skills (95 stars, last pushed 2d ago), licensed MIT. It adds 33 tokens to every session and 5,468 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 2026-09-03.
Other skills, from other repositories
resolve-publish
Commit the validated fix and follow local-only, workflow-owned, or direct PR publication.
working-in-turns
Keep each turn bounded, checkpointed, and reviewable.
fix-issue
Fixes GitHub issues using parallel analysis agents for root cause investigation, code exploration, and regression detection. Reads issue context from gh CLI, searches codebase and memory for related patterns, generates a fix with tests, and links the resolution back to the issue via PR. Includes prevention analysis to…
commit-and-push
Create a well-formatted git commit and push to remote repository.
effect-ledger
Record an effect, sign an effect, reconcile an effect or check "did this PR merge" through the signed AIWG effect ledger, using one aiwg effect command with scriptable exit codes.
customize-contribute-back
Contribute a user's AIWG customization back upstream as a PR — reviews for general applicability, creates branch, opens PR.