dev-context-multi-repo

dev-context-multi-repo is a skill for Claude Code, Codex from vasilyu1983/AI-Agents-public. It costs 36 tokens per session (4,950 once invoked), scanned A, original, MIT.

A knowledge-base builder for teams that work across several code repositories. A repository is a project’s code collection; this add-on inventories those projects and turns their important information into linked Markdown documents and data files.

In plain words
What is it for?
Use it to discover and classify repositories, create project profiles, extract key information, build cross-project knowledge maps, and produce reports about gaps or relationships.
Why use it?
Understanding how many repositories relate to one another is difficult when information is scattered. It creates a shared, structured reference for developers and coding agents.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; mentions AGENTS.md; mentions Codex.

Good fit Use it to discover and classify repositories, create project profiles, extract key information, build cross-project knowledge maps, and produce reports about gaps or relationships.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vasilyu1983/ai-agents-public/dev-context-multi-repo
Install

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.

Any agent
npx skills add vasilyu1983/AI-Agents-public --skill dev-context-multi-repo
Clone the repo
git clone --depth 1 https://github.com/vasilyu1983/AI-Agents-public

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for dev-context-multi-repo

README.md
[![agentmods](https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/dev-context-multi-repo/github.svg)](https://agentmods.dev/skills/vasilyu1983/ai-agents-public/dev-context-multi-repo)
Your own site
<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/dev-context-multi-repo"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/dev-context-multi-repo/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.

agentmods 80×15 button for dev-context-multi-repo

Your own site · 80×15
<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/dev-context-multi-repo"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/dev-context-multi-repo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,950 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.04950
Opus 5 $0.00018 $0.02475
Sonnet 5 $0.00007 $0.00990
Haiku 4.5 $0.00004 $0.00495

Measured 11d ago against content hash bf5e1ca0f0cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

dev-context-multi-repo 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 11d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (assets/hub-scaffold/context/scripts/audit-agents.sh, assets/hub-scaffold/context/scripts/generate-api-catalog.sh, assets/hub-scaffold/context/scripts/sync-rules.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

frameworks/shared-skills/skills/dev-context-multi-repo/SKILL.md · 330 lines

How it starts

The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multi-Repo Context

Use this skill to inventory, normalize, and publish one coherent knowledge hub for many repositories. The strongest default is a two-layer system: raw source captures plus an LLM-maintained compiled markdown hub with profiles, concept pages, backlinks, and derived reports. It owns repo discovery, high-signal extraction, cross-repo inference, artifact-set generation, and knowledge-graph assembly. It does not replace single-repo context or code-graph work.

Quick Reference

Task Use
Discover repos and classify portfolio shape scripts/discover_repos.py, references/repo-discovery-patterns.md
Scan repos into normalized profiles scripts/scan_repo.py, scripts/scan_portfolio.py, references/repo-classification-rules.md
Build standard artifact set scripts/build_artifact_set.py, references/output-model-and-gap-analysis.md
Build and validate graph outputs scripts/build_knowledge_graph.py, scripts/validate_graph.py, scripts/check_graph_consistency.py, references/knowledge-graph-patterns.md
Calibrate graph edge weights from evidence scripts/calibrate_weights.py, references/knowledge-graph-patterns.md
Query graph neighborhoods, paths, impact, rank, PPR, and communities scripts/query_graph.py --node|--from|--impact|--rank|--ppr|--communities, references/knowledge-graph-patterns.md
Detect communities (Louvain) and generate per-community summaries scripts/query_graph.py --communities --resolution, assets/community-summary-template.md
Bitemporal time-slice queries scripts/query_graph.py --as-of <date> --known-at <date>, references/knowledge-graph-patterns.md §12
Create or operate a coordination hub assets/coordination-repo-layout-template.md, references/hub-operations-playbook.md
Run a raw-ingest to compiled-wiki loop the docs-notes-retrieval skill, references/hub-design-patterns.md, references/hub-operations-playbook.md
Freshness and drift checks scripts/report_drift.py, scripts/check_hub_freshness.sh, references/hub-freshness-checking.md

Read the full file on GitHub · 330 lines

Files

What ships with it

60 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.

Changes

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.

  1. 11d ago First seen · 330 lines · 36 tokens per session scan A bf5e1ca0f0cc

Subscribe to this mod's changes

dev-context-multi-repo is a skill published in the GitHub repository vasilyu1983/AI-Agents-public (87 stars, last pushed 8d ago), licensed MIT. It adds 36 tokens to every session and 4,950 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 2026-08-30.

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