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/vohongtho/code-intel-platform/skillnpx skills add vohongtho/code-intel-platform --skill skillgit clone --depth 1 https://github.com/vohongtho/code-intel-platformWhat 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 | $0.00048 | $0.00619 |
| Opus 5 | $0.00024 | $0.00309 |
| Sonnet 5 | $0.00010 | $0.00124 |
| Haiku 4.5 | $0.00005 | $0.00062 |
Grade A, and why
skill 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 yesterday.
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.
What it actually says
.
10 symbols | 1 files | path:
./| call density: 0.3/sym
When to Use
Load this skill when:
- The task involves code in
./ - The user mentions
FindByID,Delete,Countor asks how they work - Adding, modifying, or debugging .-related functionality
- Tracing call chains that pass through the . layer
Key Files
| File | Symbols | Notes |
|---|---|---|
main.go |
User, UserRepository, NewUserRepository, Create +(6) |
9 exported |
Entry Points
Start exploration here — exported symbols with no external callers:
FindByID(method)→main.go:27Delete(method)→main.go:32Count(method)→main.go:40ValidateEmail(function)→main.go:44
Hot Symbols
Sorted by call graph degree (changing these has the highest blast radius):
| Symbol | Kind | In ← | → Out | File |
|---|---|---|---|---|
main |
function | 0 | 3 | main.go |
NewUserRepository |
function | 1 | 0 | main.go |
Create |
method | 1 | 0 | main.go |
FormatUser |
function | 1 | 0 | main.go |
User |
struct | 0 | 0 | main.go |
UserRepository |
struct | 0 | 0 | main.go |
FindByID |
method | 0 | 0 | main.go |
Delete |
method | 0 | 0 | main.go |
Count |
method | 0 | 0 | main.go |
ValidateEmail |
function | 0 | 0 | main.go |
Impact Guidance
Before modifying any symbol in this area:
- High-degree symbols (In ← ≥ 3) — check all callers before changing signatures
- Entry points — changes propagate to external consumers
- Run
code-intel impact <symbol>to get full blast radius
Quick Commands
# Inspect most-connected symbol
code-intel inspect main
# Blast radius for entry point
code-intel impact FindByID
# Search this area
code-intel search "."
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.
- yesterday First seen · 67 lines · 48 tokens per session scan A 95ef9b3df754
skill is a skill published in the GitHub repository vohongtho/code-intel-platform (3 stars, last pushed 6d ago), licensed MIT. It adds 48 tokens to every session and 619 once invoked, about $0.0002 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.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
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…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.