Agent skill

Agentsop Tool Scoping

by agentsope in agentsope/SkillAlchemy

Enhancement overlay for multi-agent / tool-using coder agents.

MITAuto-check passedAI & LLM Engineering

Install Agentsop Tool Scoping

skills CLI
$ npx skills add agentsope/SkillAlchemy --skill agentsop-tool-scoping -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install agentsope/SkillAlchemy agentsop-tool-scoping --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/agentsope/SkillAlchemy.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agentsop-tool-scoping .claude/skills/agentsop-tool-scoping && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agentsop-tool-scoping
GitHub stars
459
Token cost
~4.5k tokens
SKILL.md length
2,172 words
Files
4 (incl. references)
Skills in repo
45
Repo updated
First seen
Licence
MIT

At a glance

Enhancement overlay for multi-agent / tool-using coder agents.

  • Works in 7 steps: 何时激活 (When to Activate) → 核心心智模型 (Core Mental Model) → SOP 工作流 (Standard Operating Procedure) → …
  • Tasks that involve Building AI agents
  • SKILL.md covers 1. 何时激活 (When to Activate), 2. 核心心智模型 (Core Mental Model), 3. SOP 工作流 (Standard Operating… and 4. 操作模型 (Operation Models), plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agentsop Tool Scoping is an agent skill from agentsope/SkillAlchemy. Enhancement overlay for multi-agent / tool-using coder agents. Encodes the per-agent tool- scoping discipline that role-based frameworks (CrewAI, LangChain) document only as a passing best-practice: which agent gets which tool, and why blanket-sharing every tool to every agent is a correctness and blast-radius risk. Activates when an agent system has tools AND there is more than one agent (or one agent holding many tools). Treat a tool as a capability grant; scope by least-privilege. ENHANCE overlay — read…

Its SKILL.md is about 4.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `README.md`, `intermediate/operation_candidates.json` and `references/R1-source-evidence.md`).

It sits in AI & LLM Engineering, covering Building AI agents and Authorization and RBAC. It works with CrewAI and LangChain. The repository describes itself as: From thought to skill. From signal to structure. The licence is MIT.

When your agent uses it

  • Tasks that involve Building AI agents
  • Tasks that involve Authorization and RBAC

Example prompts

  • “/agentsop-tool-scoping”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. 何时激活 (When to Activate)
  2. 核心心智模型 (Core Mental Model)
  3. SOP 工作流 (Standard Operating Procedure)
  4. 操作模型 (Operation Models)
  5. 困境决策案例 (Dilemma Cases)
  6. 反模式与边界 (Anti-Patterns & Boundaries)
  7. 跨框架对照 (Cross-Framework Mapping)

What it can do on your machine

Read from SKILL.md and the folder at commit 6ea799f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agentsop Tool Scoping loads about 4.5k tokens when it runs, and up to ~5.7k if it reads all its reference files. Until then it costs about 197 tokens; SKILL.md has 2,172 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~197
When it runs · the whole SKILL.md, loaded when a task matches
~4.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from agentsope/SkillAlchemy at commit 6ea799f, republished under its MIT licence (© agentsope). 2,172 words, ~4,507 tokens.

Download SKILL.mdSave it as .claude/skills/agentsop-tool-scoping/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
agentsop-tool-scoping
description
Enhancement overlay for multi-agent / tool-using coder agents. Encodes the per-agent tool- scoping discipline that role-based frameworks (CrewAI, LangChain) document only as a passing best-practice: which agent gets which tool, and why blanket-sharing every tool to every agent is a correctness and blast-radius risk. Activates when an agent system has tools AND there is more than one agent (or one agent holding many tools). Treat a tool as a capability grant; scope by least-privilege. ENHANCE overlay — read alongside [[crewai]], [[agentsop-http-tool-wrapping]], [[agentsop-llm-tool-idempotency]]. Search keywords: which tools per agent, least-privilege agent, agent tool access, tool permissions, limit agent tools, scope tools to roles.overlay_type: enhancement
version
0.1.0
enhances
crewai, langchain, langgraph

Tool Scoping · Per-Agent Tool Binding (Least-Privilege Discipline)

Overlay posture: the base frameworks ([[crewai]], LangChain, LangGraph) all define tools and bind them, but treat scoping as a one-line "assign tools to the agent that needs them" footnote. This overlay makes the rubric first-class. Non-trivial claims cite inline against references/R1-source-evidence.md.

The lever the base skills under-surface: tool definition and tool binding are two separate decisions. You define a tool once (reusable class/function), but you bind it per-agent deliberately. The [[crewai]] SKILL states this in one clause — "tool 定义可复用;但每个 agent 只绑定其角色匹配的工具" [crewai-sop §DC-3] — and then moves on. Production failures (wrong-tool selection, an agent running a destructive op outside its role) come from skipping the binding decision and defaulting to "give everyone everything."


1. 何时激活 (When to Activate)

Activate when any of these hold:

  • The system is multi-agent (CrewAI crew, LangGraph supervisor/swarm, AutoGen group) AND at least one agent holds ≥1 tool.
  • A single agent holds many tools (rule of thumb: ≥8 — see OP-4) and tool selection has started degrading (picks the wrong tool, or "tool-hops").
  • You are tempted to give all agents all tools — tools=[search, exec, db] copy-pasted onto every Agent(...), or one bind_tools([...everything]) call reused for every node. This is the canonical trigger.
  • A tool has side effects (DB write, payment, email, DELETE, shell exec, outbound HTTP POST) and you are deciding who may hold it.
  • You are doing a security / blast-radius review of an agent system and need to answer "which agent can do what, and why."

Do not activate for: a single agent with 1–3 read-only tools (scoping is trivial), or a stateless single LLM call with no tools.


2. 核心心智模型 (Core Mental Model)

A tool is a capability grant, not a convenience. Binding a tool to an agent is the same act as granting a Unix process a syscall, a service an IAM role, or a container a Linux capability. The discipline is identical and ancient: least-privilege — an agent should hold only the tools its role actually needs.

Three load-bearing consequences:

  1. Definition ≠ binding. Define the tool once (a reusable BaseTool / function); decide the binding (which agents see it) separately and minimally. [[crewai]] says "write once, use everywhere" applies to the definition layer only; the binding layer is per-role [crewai-sop §DC-3].

  2. Every bound tool is in the agent's selection space, and the model pays for it. The LLM must reason over the full tool list on every turn. More tools = bigger schema in context = higher token cost AND lower selection accuracy. This is why a 20-tool agent picks wrong (OP-4, DC-2).

  3. Side-effectful tools change the blast radius of a misfire. A read-only search tool on the wrong agent wastes tokens. A run_sql or send_payment tool on the wrong agent (or one with no guard) is a production incident. The LangGraph HITL discipline — "interrupt on irreversible, high-blast-radius actions only" — is the runtime half; tool scoping is the design-time half of the same risk-control [langgraph-sop §Step5].

The mental test before binding any tool to any agent:

"Does THIS role's goal require THIS capability to be exercised by THIS agent autonomously? If a different agent could/should do it, don't bind it here."


3. SOP 工作流 (Standard Operating Procedure)

A coder agent walks this top-down. Each phase has a gate.

Phase 0 · Inventory the surface

List every tool (name, side-effect class: read | compute | write | destructive) and every agent (name, one-verb role). If there is exactly one agent and ≤3 read tools — stop, scoping is trivial.

Phase 1 · Map roles → minimal tool set

For each agent, write its role as a single verb (research / analyze / write / review). Then, for each tool, ask the §2 test. Bind only on a "yes."

  • Default to the empty set and add tools, not the full set and remove them.
  • A "synthesis-only" agent (writer, reporter) often needs zero tools — it consumes upstream output [crewai-sop §DC-3].

Gate: if two agents end up with identical tool sets, ask whether they are really two roles or one (the [[crewai]] "split-vs-merge" question [crewai-sop §DC-1]).

Phase 2 · Guard side-effectful tools

Any tool classed write or destructive:

  • Bind it to exactly one agent (single funnel, auditable).
  • Pair it with a runtime guard: HITL interrupt() before the side effect in LangGraph [langgraph-sop §Step5], or an approval/confirm step in CrewAI.
  • Make the underlying operation idempotent so a retry/re-run is a no-op — see [[agentsop-llm-tool-idempotency]] and [[agentsop-http-tool-wrapping]]. LangGraph's payment case (charged twice on resume) is exactly this failure [langgraph-sop §Case4].
Phase 3 · Enforce per-agent tool-count limit

If any agent now holds >8 tools, selection accuracy degrades (OP-4). Options: split the role, group tools behind a router/sub-agent, or move read-only helpers into the prompt as context instead of tools.

Phase 4 · Audit

Produce a binding matrix (agents × tools). For each write/destructive cell, confirm there is exactly one owner and a guard. For each agent, confirm tool count ≤ limit. This matrix is the security artifact a reviewer reads.


4. 操作模型 (Operation Models)

Format: Trigger → Action → Output → Evidence.

OP-1 · Least-privilege role→tool mapping
  • Trigger: Assembling a multi-agent crew/graph with a shared tool pool.
  • Action: For each agent, start from tools=[]. Add a tool only when the role's goal requires that agent to exercise it. Reuse the tool definition across agents, but bind per-role.
  • Output: Each Agent(tools=[...]) / per-node bind_tools([...]) holds the minimal set; a binding matrix.
  • Evidence: [crewai-sop §DC-3] "每个 agent 只绑定其角色匹配的工具"; [langgraph-sop §Step4] topology binds tools to nodes, not globally.
OP-2 · Side-effect tool guarding
  • Trigger: A tool performs a write or destructive operation.
  • Action: Bind it to one agent only. Add a runtime guard (HITL interrupt / human approval) before the effect, and make the op idempotent.
  • Output: A single-owner, guarded, idempotent side-effectful tool.
  • Evidence: [langgraph-sop §Step5] interrupt on irreversible only; [langgraph-sop §Case4] double-charge from unguarded side effect; cross-link [[agentsop-llm-tool-idempotency]], [[agentsop-http-tool-wrapping]].
OP-3 · Shared-registry vs per-agent binding decision
  • Trigger: You have a tool registry and N agents and must decide how to wire.
  • Action: Share at the definition layer (one registry of tool classes). Decide binding per-agent via OP-1. Never tools=registry.all() on every agent.
  • Output: One definition source, N minimal per-agent bindings.
  • Evidence: [crewai-sop §DC-3] definition-reuse vs binding-scope split.
OP-4 · Per-agent tool-count limit
  • Trigger: An agent's tool list grows (≥8) or it starts mis-selecting tools.
  • Action: Cap tools per agent (~8 as a working ceiling). If over, split the role, introduce a routing sub-agent, or demote read-only tools to context.
  • Output: Every agent ≤ the ceiling; improved selection accuracy.
  • Evidence: too-many-tools degrades selection — same root cause as CrewAI's ">5 agents = coordination failure" scaling wall [crewai-sop §6.1 AP-1]; see DC-2.
OP-5 · Zero-tool synthesis agents
  • Trigger: An agent only consumes upstream output (writer, reporter, judge).
  • Action: Bind no tools. Feed it context via task context=[...] (CrewAI) or state (LangGraph).
  • Output: A tool-free agent that cannot "wander" into capabilities.
  • Evidence: [crewai-sop §DC-3] "reporter=[] (纯综合)".
OP-6 · Binding-matrix audit
  • Trigger: Pre-ship review, or security review of an agent system.
  • Action: Build an agents × tools matrix. Flag any write/destructive tool bound to >1 agent or lacking a guard; flag any agent over the count limit.
  • Output: A reviewable capability matrix + remediation list.
  • Evidence: Phase 4; mirrors least-privilege IAM review practice.
OP-7 · Tighten scope as the fastest misuse fix
  • Trigger: An agent is observed using a tool outside its role (e.g. a researcher invoking a code executor).
  • Action: Remove the tool from that agent's binding (the whitelist tighten), rather than prompt-engineering "please don't use X."
  • Output: A structurally-prevented misuse instead of a hoped-for one.
  • Evidence: [crewai-sop §DC-3] "agent 跨工具滥用 → 收紧工具白名单是最快的 fix".

5. 困境决策案例 (Dilemma Cases)

Show full SKILL.md (938 more words)Show less
DC-1 · Shared tool registry vs per-agent tool sets

场景: You have web_search, code_executor, db_query and three agents (researcher / analyst / reporter). The convenient move is tools=[search, exec, db] on all three.

两条路:

  • A. Blanket share — every agent gets all three. Zero wiring thought. Problem: the researcher also calls code_executor to "just quickly compute," violating role separation; failures become un-localizable (who ran the bad query?); every agent pays the full 3-tool schema cost every turn.
  • B. Per-role binding — researcher=[search], analyst=[exec, db], reporter=[]. Clearer responsibilities, localizable errors, smaller per-turn schema [crewai-sop §DC-3].

判断规则:

  1. Share at the definition layer (one BaseTool per tool — reuse is good).
  2. Decide binding by OP-1: a tool is bound only if the role needs that agent to exercise it.
  3. If you genuinely cannot say which single agent owns a write tool, your roles are under-specified — go back to role design [crewai-sop §DC-1].

红线: Never let "it's easier to share" be the binding rationale. Ease of wiring is not a capability requirement.

Evidence: [crewai-sop §DC-3], [langgraph-sop §Step4].


DC-2 · The 20-tool agent that picks the wrong tool

场景: A single "do-everything" agent accumulates 20 tools over time. It now calls delete_record when the user asked to read a record, or burns turns hopping between near-duplicate tools (search_v1, search_v2, lookup).

陷阱: The instinct is to "improve the prompt" so the model picks better. But the root cause is the selection space is too large — 20 tool schemas in context dilute attention and inflate token cost, exactly as ">5 agents" causes coordination collapse in CrewAI [crewai-sop §6.1 AP-1]. Prompt tweaks paper over a structural problem.

三条路:

  • A. Prompt-engineer the selection — describe each tool more carefully. Helps marginally; does not fix the count.
  • B. Split the agent by capability cluster — research-agent (search tools), data-agent (db/exec tools), each ≤8 tools. Mirrors the CrewAI "split when one agent does two jobs" rule [crewai-sop §DC-1].
  • C. Router + scoped sub-agents — a thin supervisor routes to a sub-agent whose small tool set matches the sub-task [langgraph-sop §Step4].

判断规则:

  1. Tool count > ~8 → suspect the count, not the prompt (OP-4).
  2. Duplicate/overlapping tools → consolidate definitions first.
  3. Mixed read + destructive tools on one agent → split so destructive tools live on a single guarded owner (OP-2), shrinking the dangerous agent's surface.

红线: A destructive tool on a 20-tool agent is the worst case — high mis-selection probability × high blast radius. Scope it out first.

Evidence: [crewai-sop §6.1 AP-1], [langgraph-sop §Step4/§Case4].


DC-3 · Should a destructive tool ever be shared across agents?

场景: Two agents both "occasionally need" to write to the database.

判断规则:

  1. Default no — a write/destructive tool gets exactly one owning agent (single auditable funnel), per OP-2.
  2. If two agents truly both need it, the write should usually be extracted into a dedicated single-owner "writer" agent/node that the others call — not duplicated. This is the supervisor-funnel argument applied to capabilities [langgraph-sop §Step4].
  3. Whichever agent owns it: guard with HITL/approval and idempotency ([[agentsop-llm-tool-idempotency]], [[agentsop-http-tool-wrapping]]).

红线: Two agents holding the same unguarded destructive tool = two independent ways to cause the same irreversible incident, and an ambiguous audit trail.

Evidence: [langgraph-sop §Step5/§Case4], [crewai-sop §DC-3].


6. 反模式与边界 (Anti-Patterns & Boundaries)

#Anti-patternSymptomFix
AP-1Blanket tool sharing (tools=[all] on every agent)role bleed, un-localizable failures, inflated token costper-role binding (OP-1, DC-1)
AP-2No guard on destructive toolsdouble-charge / accidental delete on retry or mis-selectionsingle owner + HITL + idempotency (OP-2, [[agentsop-llm-tool-idempotency]])
AP-3One mega-agent with 20 toolswrong-tool selection, tool-hopping, costcap ≤8, split or route (OP-4, DC-2)
AP-4Prompt-patching tool misuse"please don't use X" in backstoryremove the tool from the binding (OP-7)
AP-5Sharing the destructive tool itself instead of the definitiontwo paths to the same incidentextract single-owner writer (DC-3)
AP-6Binding tools to synthesis agentswriter/reporter "wanders" into search/execbind zero tools (OP-5)

Boundaries — this overlay does NOT cover:

  • How to implement a tool (ret, errors, HTTP wrapping) → [[agentsop-http-tool-wrapping]].
  • How to make a tool safe to retry → [[agentsop-llm-tool-idempotency]].
  • Runtime HITL gating mechanics → base LangGraph skill [langgraph-sop §Step5].
  • Whether to use multi-agent at all → [[crewai]] / agent-topology selection.
  • This is a design-time scoping rubric, not a sandbox/permission runtime.

7. 跨框架对照 (Cross-Framework Mapping)

The scoping decision is universal; only the binding syntax differs.

FrameworkDefine a toolBind per-agent (the scoping point)Scoping notes
CrewAIBaseTool subclass / @toolAgent(role=..., tools=[search]) — per agentDefinition reusable, binding per-role [crewai-sop §DC-3]. allow_delegation further widens effective capability — keep it False on workers [crewai-sop §DC-5].
LangGrapha callable / @toolmodel.bind_tools([...]) per node, or per create_react_agentTools bound to the node that needs them, not globally; topology decides who routes to the tool-bearing node [langgraph-sop §Step2/§Step4]. Guard destructive tools with interrupt() [langgraph-sop §Step5].
LangChain (agents)@tool / Tooltools list passed to each AgentExecutorSame definition-vs-binding split; the base LangChain docs note "give the agent the tools it needs" but leave the per-agent rubric implicit — this overlay fills that gap.
OpenAI Assistantstools=[{type/function...}]per-Assistant tools arrayEach Assistant is a scoping boundary; create role-specific Assistants rather than one with every function.
Claude tool_usetools=[{name, input_schema}] in the API callthe tools list of a given request/agentScope by sending only the tools relevant to that agent's turn; large tool lists raise mis-selection and token cost identically.

One-line cross-walk: CrewAI agent.tools ≈ LangGraph per-node bind_tools ≈ Assistant tools array ≈ Claude request tools — in every case, the right-hand list is the capability grant, and least-privilege says keep it minimal.


Appendix · Binding matrix template

              | web_search | run_sql (write) | send_email (write) | code_exec |
--------------+------------+-----------------+--------------------+-----------+
researcher    |     ✓      |        ·        |         ·          |     ·     |
analyst       |     ·      |        ·        |         ·          |     ✓     |
db_writer*    |     ·      |        ✓ (HITL)  |         ·          |     ·     |
notifier*     |     ·      |        ·        |       ✓ (HITL)      |     ·     |
reporter      |     ·      |        ·        |         ·          |     ·     |   ← zero-tool synthesis
--------------+------------+-----------------+--------------------+-----------+
* single owner of a destructive tool; guarded + idempotent

Audit rule: every (write) column has exactly one ✓, and it is (HITL).


Sources

  • [crewai-sop] = crewai-sop-skill/SKILL.md (per-agent tools §DC-3; split §DC-1; delegation §DC-5; scaling AP-1)
  • [langgraph-sop] = langgraph-sop-skill/SKILL.md (bind_tools to nodes §Step2/4; HITL §Step5; double-charge §Case4)
  • [[crewai]], [[agentsop-http-tool-wrapping]], [[agentsop-llm-tool-idempotency]] — sibling overlays
  • Full evidence with quotes: references/R1-source-evidence.md

© agentsope, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in skills/agentsop-tool-scoping of agentsope/SkillAlchemy.

  • SKILL.md
  • README.md
  • intermediate/operation_candidates.json
  • references/R1-source-evidence.md

Open the folder on GitHubat commit 6ea799f

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Works with

Questions about Agentsop Tool Scoping

What does Agentsop Tool Scoping do?

Enhancement overlay for multi-agent / tool-using coder agents. Agentsop Tool Scoping is an agent skill from agentsope/SkillAlchemy. Enhancement overlay for multi-agent / tool-using coder agents.

When should I use Agentsop Tool Scoping?

Agentsop Tool Scoping fits situations like: tasks that involve Building AI agents; tasks that involve Authorization and RBAC.

How do I install Agentsop Tool Scoping in Claude Code?

Run `npx skills add agentsope/SkillAlchemy --skill agentsop-tool-scoping -a claude-code`. Or copy the skill folder (skills/agentsop-tool-scoping in agentsope/SkillAlchemy) into .claude/skills/agentsop-tool-scoping in your project. Claude Code loads it when a task matches its description.

How do I install Agentsop Tool Scoping in Codex?

Run `npx skills add agentsope/SkillAlchemy --skill agentsop-tool-scoping -a codex`. Or copy the skill folder (skills/agentsop-tool-scoping in agentsope/SkillAlchemy) into .agents/skills/agentsop-tool-scoping in your project. Codex loads it when a task matches its description.

Can I use Agentsop Tool Scoping in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentsope/SkillAlchemy --skill agentsop-tool-scoping -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentsop-tool-scoping, .gemini/skills/agentsop-tool-scoping, .github/skills/agentsop-tool-scoping and .opencode/skills/agentsop-tool-scoping in your project.

What does Agentsop Tool Scoping need to run?

SKILL.md names no scripts, command-line tools or credentials: Agentsop Tool Scoping is instructions for the agent only.

Does Agentsop Tool Scoping access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agentsop Tool Scoping safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agentsop Tool Scoping use?

Agentsop Tool Scoping is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agentsop Tool Scoping use?

About 4.5k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.2k tokens, read only when the agent opens those files.

What are the alternatives to Agentsop Tool Scoping?

Skills that share tags, products or a category with Agentsop Tool Scoping: Mem0 Platform SDK (mem0ai/mem0, 67k stars), Edgeone Makers Migration (TencentEdgeOne/edgeone-makers-tools, 1.9k stars), Omnigent Framework Detection (omnigent-ai/omnigent, 11k stars) and Crewai Multi Agent (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agentsop Tool Scoping?

agentsope (a GitHub user) maintains it in agentsope/SkillAlchemy, which has 459 GitHub stars. The repository holds 45 skills in this directory. The repository was last updated on September 2, 2026.

Source: agentsope/SkillAlchemy on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.