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agent-integration

Integrate an application's backend with FastClaw cloud agents over the FastClaw API. Use when a project needs to chat with one or more existing FastClaw agents (agent-scope API key), or to create, update, delete and chat with agents on demand (user-scope API key) — e.g. "connect this app to FastClaw", "call my FastClaw agent from the backend", "let each user create their own agent".

76

Quality

96%

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SKILL.md
Quality
Evals
Security

Quality

Content

92%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

An excellent single-file integration guide: token-efficient, fully executable, and sequenced with real validation checkpoints and a closing checklist. Its one structural weakness is that all endpoint detail, chat semantics, and error reference live inline in SKILL.md rather than being split into one-level-deep reference files, which costs it on progressive disclosure.

Suggestions

Move the per-endpoint CRUD reference (section 4: create/list/read/update/identity files/delete) into a references/agents-api.md file, keeping only a summary table of endpoints plus the create example in SKILL.md.

Move the chat request field-by-field reference (agent_id, session key, user, params, files, project_id, usage accounting) and the produced-files details into references/chat-api.md, leaving the chat curl example and the three most important rules inline.

Move the full error-code table (section 7) to references/errors.md and keep only the "every /v1 error is {\"error\": {...}} — branch on code" convention plus the two most common codes inline.

DimensionReasoningScore

Conciseness

The body is lean throughout: every section carries FastClaw-specific facts Claude cannot know (key types, endpoint shapes, field semantics, error codes) in tables and terse bullets, with no explanations of concepts Claude already knows. Not 4 because I could find no padded passages to trim — even the intro paragraph describes proprietary architecture, not general knowledge.

5 / 5

Actionability

Guidance is fully executable: copy-paste curl commands for every endpoint with request and response JSON, exact field limits ("at most 16 keys, keys ≤ 64 characters, values ≤ 512"), a branch-on-code error table with recovery actions, and a closing checklist. Not 4 because the examples are complete and cover the common cases for both scenarios.

5 / 5

Workflow Clarity

Clear sequence (configure → verify connection → pick scenario → execute → chat → handle errors → checklist) with an explicit validation checkpoint: the curl probe whose "200 lists the agents the key may use; 401 unauthorized means a wrong or revoked key", plus "If either is missing, stop and ask the user". Destructive operations carry validation guidance (a second delete returns 404; "treat it as 'already deleted'") and the checklist recapitulates the checkpoints. Not 4 because checkpoints are explicit at every risky step, including error-recovery guidance per code.

5 / 5

Progressive Disclosure

Headers and sections are well-organized and navigation within the file is easy, but the entire ~270-line API reference — endpoint-by-endpoint CRUD details, the full chat-request field reference, the error table — is inlined in SKILL.md with no references/ files at all. This matches the 3 anchor ("content that should be separate is inline"). Not 2 because structure is clear and nothing is buried; not 4 because large chunks (sections 4–7) are exactly the endpoint-reference material the 4/5 anchors expect split into separate files — the under-50-line simple-skill exception does not apply at this size.

3 / 5

Total

18

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A model description: third-person/imperative voice, concrete actions covering both the fixed-agent and manage-agents scenarios, an explicit "Use when" clause with natural user trigger phrases, and a distinctive branded niche. Both what and when are explicitly present with no fluff or over-claims.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions — "Integrate an application's backend with FastClaw cloud agents over the FastClaw API", "chat with one or more existing FastClaw agents", "create, update, delete and chat with agents on demand" — covering the full capability surface of the skill. Not score 4 because coverage is comprehensive across both scenarios rather than having minor gaps.

5 / 5

Completeness

Both questions are explicitly answered: the 'what' ("Integrate an application's backend with FastClaw cloud agents over the FastClaw API") and a clear "Use when a project needs to chat with... or to create, update, delete and chat with agents on demand" with concrete trigger phrases. This matches the 5-anchor's combined what-and-when-with-trigger-phrases pattern.

5 / 5

Trigger Term Quality

It includes natural phrases users would actually say: "connect this app to FastClaw", "call my FastClaw agent from the backend", "let each user create their own agent". These cover the common variations (integrate, call from backend, per-user agent creation) that map directly onto the skill's two scenarios.

5 / 5

Distinctiveness Conflict Risk

The FastClaw brand name appears throughout, giving the skill a clear niche that no generic skill would collide with; the trigger phrases are unambiguously about FastClaw agent integration. Conflict risk with other API-integration skills is minimal.

5 / 5

Total

20

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 1 suspicious

Warning

Total

15

/

16

Passed

Repository
fastclaw-ai/fastclaw
Reviewed

Table of Contents

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