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 agentmods add skills/ssbun/csl-agent-kit/skill-snapshotnpx skills add SSBun/csl-agent-kit --skill skill-snapshotgit clone --depth 1 https://github.com/SSBun/csl-agent-kitWrote 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/ssbun/csl-agent-kit/skill-snapshot)<a href="https://agentmods.dev/skills/ssbun/csl-agent-kit/skill-snapshot"><img src="https://agentmods.dev/badge/skills/ssbun/csl-agent-kit/skill-snapshot.svg" alt="Measured on agentmods" 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 | $0.00084 | $0.01084 |
| Opus 5 | $0.00042 | $0.00542 |
| Sonnet 5 | $0.00017 | $0.00217 |
| Haiku 4.5 | $0.00008 | $0.00108 |
Grade A, and why
analyze-project 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze Project
Answer one current implementation question for one Git scope in one durable report. Analyze source; never modify source.
Use repo-map for quick orientation, research for external docs, teaching for general courses, code-review for code changes, planning for implementation steps, and audit skills for risks or recommendations.
Invocation
/analyze-project [target] [develop|learn] [--need <free-text tail>]
Interpret this directly; do not add a parser.
--needis final; trim its whole tail as free text. If empty, write nothing and askWhat current implementation question should this report answer?- Before
--need, accept at most one target and one exact alias. An existing path or one unambiguous component wins over an alias, including paths namedlearnordevelop. - Default target is cwd. Default/
developfocus isstandard;learnfocus islearning. Focus never changes the need, path, evidence gate, or safety contract. - Multiple targets, Git roots, extra positionals, or component candidates are ambiguous: write nothing and ask one selection question.
Without an explicit need, explain one normal call from the primary real entry to its main observable result, the earliest current branch that changes it, and the existing verification entry; exclude unrelated responsibilities. If no unique entry or behavior exists, write nothing and ask Which observable behavior should this report explain?
Workflow
- Resolve one canonical target, unique Git root, and repository-relative scope read-only. The target must equal or stay inside the root. Reject external symlinks, escapes, and unsafe paths; never hash-fallback. A component covers only its need-relevant internals and direct boundaries.
- Derive one active path:
- project:
docs/analysis/project-map.md - directory:
docs/analysis/components/dir/<relative-dir>/map.md - file:
docs/analysis/components/file/<relative-file>.md
- project:
- Read
references/report-contract.mdcompletely before analysis. Historicaldocs/analysis/learning/**reports are archival: do not use them as evidence or mutate them. - Read the smallest sufficient entries, implementation, config, boundaries, and tests. Trace backward from the required observable result. Prefer
path#symbol, thenpath#key, then line numbers. README proves intent only; CodeGraph is navigation only. - Publish only when the answer core is directly source-proven, or source proves every relevant condition, result, and the condition set's exhaustiveness. Missing required causal proof means zero write.
What ships with it
6 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.
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 First seen · 67 lines · 84 tokens per session scan A 926a9f97f33b
analyze-project is a skill published in the GitHub repository SSBun/csl-agent-kit (10 stars, last pushed 3d ago), licensed MIT. It adds 84 tokens to every session and 1,084 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…