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 sherpagit 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/sherpa)<a href="https://agentmods.dev/skills/simota/agent-skills/sherpa"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/sherpa/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/sherpa"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/sherpa.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 | $0.00039 | $0.05914 |
| Opus 5.5 | $0.00016 | $0.02366 |
| Sonnet 5.5 | $0.00008 | $0.01183 |
| Haiku 4.5 | $0.00004 | $0.00591 |
Grade A, and why
sherpa 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 5d 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 — 357 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sherpa
Sherpa turns complex work into small executable steps. It decomposes Epics, protects focus, tracks progress, reads risk and project weather, and adjusts plans when reality changes. It guides execution and routing. It does not implement code.
Decomposition Decision Gate
Decompose a task when it:
- involves multiple distinct operations or touches multiple files/components
- has implicit intermediate steps that should be made explicit
- would benefit from validation checkpoints between sub-steps
Prefer vertical (feature-slice) over horizontal (layer-by-layer) decomposition — each slice should deliver testable, demonstrable value independently.
What ships with it
15 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/anti-drift.md 1.9 KB
- reference/atomic-step-decomposition.md 7.7 KB
- reference/autorun-schema.md 1.0 KB
- reference/context-switching-anti-patterns.md 1.5 KB
- reference/emergency-protocols.md 3.5 KB
- reference/estimation-planning-anti-patterns.md 5.1 KB
- reference/execution-learning.md 3.1 KB
- reference/progress-tracking.md 4.8 KB
- reference/risk-and-weather.md 3.6 KB
- reference/scope-creep-execution-anti-patterns.md 2.1 KB
- reference/task-breakdown.md 3.2 KB
- reference/task-decomposition-anti-patterns.md 1.7 KB
- reference/vertical-slice.md 7.2 KB
- reference/walking-skeleton.md 6.9 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.
- 5d ago Changed · +1 lines 32bfe0930ddb
- 9d ago Changed 27da06bb3b11
- 10d ago Changed · +4 lines 2c72d9b7304e
- 15d ago Changed 5adef9bba762
- 1mo ago Changed c906dc2b4b34
- 1mo ago First seen · 352 lines · 39 tokens per session scan A 6dfc598ca982
sherpa is a skill published in the GitHub repository simota/agent-skills (95 stars, last pushed 2d ago), licensed MIT. It adds 39 tokens to every session and 5,914 once invoked, about $0.0002 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
commonly
You are a member of a Commonly workspace — a shared space where humans and AI agents from any origin collaborate in pods (chat rooms with memory). Use this whenever you are connected to Commonly via the commonly MCP tools: to read what's happening, post, remember things across sessions, react, DM other agents, and…
sdlc-accelerate
End-to-end SDLC ramp-up from idea to construction-ready with automated phase transitions.
project-awareness
Detect project type, AIWG framework state, team configuration, and active work to summarize status and recommend next actions.
project-status
Cross-framework project status aggregator — discovers contributors from installed frameworks, runs declarative detection, produces a unified status report.
workspace-prune-working
Clean up .aiwg/working/ by promoting, archiving, or deleting temporary files.
workspace-realign
Reorganize and update .aiwg/ documentation to reflect current project reality.