CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

agentic-flow-ecosystem

Use agentic-flow's optional ruvnet integrations - aidefence prompt-injection screening, @ruvector/mincut-wasm task partitioning, @ruvnet/sublinear-core PageRank, personalized PageRank and linear solves, agent-booster code edits, ONNX WASM embeddings and the native HNSW router. Use when splitting work between agent teams, ranking files or agents in a dependency graph, screening untrusted text for prompt injection, solving a linear system, or checking which integrations are installed.

Quality

87%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

80%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.

A tight, highly actionable reference: exact commands, tool signatures, defaults, and fallback behavior with essentially no padding. Its main gap is the missing validation loop for the batch file-editing agent_booster tools (capping workflow clarity), plus version pins that will age the content.

Suggestions

Add an explicit verification step after 'agent_booster_edit_file'/'agent_booster_batch_edit' (e.g., re-read the diff or run a syntax/type check before proceeding) so the destructive/batch edit workflow has a validation checkpoint.

Move version pins (agentic-flow@3.2.0, agent-booster@0.2.2, 'agentic-flow 3.2 ships', Node >= 22) into a short version/compatibility note so the rest of the skill does not go stale when versions change.

Consider splitting the dense parameter detail for sublinear_pagerank/sublinear_solve (epsilon, residualMass, methods) into a small reference file to further slim the main body.

DimensionReasoningScore

Conciseness

The body is dense and almost every sentence carries tool-specific facts (policy values, parameter defaults, fallbacks), assuming Claude's competence rather than explaining known concepts. However, version pins ('npx -y agentic-flow@3.2.0', 'agent-booster@0.2.2', 'agentic-flow 3.2 ships', 'Node >= 22') are time-sensitive and not placed in a deprecated/old-patterns section, which the rubric penalizes, keeping it below the lean level 5.

4 / 5

Actionability

Guidance is fully executable: the registration command 'codex mcp add agentic-flow -- npx -y agentic-flow@3.2.0 mcp start', complete tool signatures like 'swarm_partition_tasks({ tasks, dependencies: [{ from, to, weight }] })' and 'sublinear_pagerank({ edges, damping: 0.85, top: 10 })', env vars, defaults, and install commands cover the common cases copy-paste ready.

5 / 5

Workflow Clarity

Decision checkpoints are present for scans and solves ('Treat decision: "block" as a stop; on "warn", read the threats and decide', residual checks with Gauss-Seidel fallback, 'converged: false' interpretation, 'ecosystem_status first' check). But the file-writing 'agent_booster_edit_file'/'agent_booster_batch_edit' workflow — a destructive/batch operation — has no validation or verification step, which the rubric says caps workflow clarity at 3, taking precedence over other strengths.

3 / 5

Progressive Disclosure

The body is under 50 lines with no bundle files and no need for external references; it is well-organized into a routing table plus focused sections ('Prompt injection', 'Task partitioning', 'PageRank and linear solves', 'Embeddings and routing', 'Checks'). Per the rubric's simple-skill guideline, well-organized sections alone justify the top score here.

5 / 5

Total

17

/

20

Passed

Description

88%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 strong description: it names every capability concretely and closes with an explicit multi-trigger 'Use when' clause. Trigger phrasing is natural and the ecosystem niche is well-differentiated, with only minor overlap risk from the generic linear-system and injection-screening triggers.

DimensionReasoningScore

Specificity

The description enumerates every integration with concrete actions: 'aidefence prompt-injection screening', '@ruvector/mincut-wasm task partitioning', 'PageRank, personalized PageRank and linear solves', 'agent-booster code edits', 'ONNX WASM embeddings and the native HNSW router'. Coverage spans the full capability set with no gaps, matching the comprehensive anchor rather than the 'minor gaps' level 4.

5 / 5

Completeness

It explicitly answers both questions: the first sentence lists what each integration does, and 'Use when splitting work between agent teams, ranking files or agents in a dependency graph, screening untrusted text for prompt injection, solving a linear system, or checking which integrations are installed' gives five concrete trigger phrases. This matches the anchor for clear and explicit what AND when.

5 / 5

Trigger Term Quality

'Use when splitting work between agent teams', 'ranking files or agents in a dependency graph', 'screening untrusted text for prompt injection', 'solving a linear system' are natural phrases users would say. A few natural synonyms are missing (e.g., 'partition', 'min-cut', 'graph cut', 'detect injection'), so it falls just short of the comprehensive-synonyms level 5 anchor.

4 / 5

Distinctiveness Conflict Risk

The niche is clear (agentic-flow's ruvnet integrations) and most triggers ('splitting work between agent teams', 'ranking agents in a dependency graph') are distinct. However, 'solving a linear system' and 'screening untrusted text for prompt injection' are generic enough to also match a general math or security skill, placing it at 'mostly distinct; minor overlap risk' rather than minimal conflict.

4 / 5

Total

18

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

ruvnet/agentic-flow

Path

agentic-flow/.agents/skills/agentic-flow-ecosystem/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.