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analyzing-network-packets-with-scapy

Use Scapy to craft, send, sniff, and dissect TCP/UDP/ICMP/DNS packets, analyze pcap files, implement SYN scans, and detect anomalous traffic such as fragmented or malformed packets. Use when performing authorized network reconnaissance, protocol-level forensic analysis, or building traffic anomaly detection during security testing.

63

Quality

75%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./skills/analyzing-network-packets-with-scapy/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

50%

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

The body is well-structured and avoids padding, but it underutilizes its own bundle: executable code and the API reference are never referenced from SKILL.md, and the workflow lacks validation checkpoints for a batch analysis task.

Suggestions

Replace the Overview's restated description with inline links to the bundle, e.g. 'See references/api-reference.md for function/field details and scripts/agent.py for a runnable analyzer.'

Add a concrete code snippet to the Steps (e.g. a rdpcap + layer-extraction example) or point explicitly to the relevant section of api-reference.md so guidance is copy-paste ready.

Insert validation checkpoints in the workflow (confirm packet count after rdpcap, verify IP-layer records extracted, sanity-check anomaly counts before writing the report).

DimensionReasoningScore

Conciseness

The body is lean and avoids explaining concepts Claude already knows, but the Overview paragraph restates the frontmatter description near-verbatim and the 'When to Use' bullets are templated and generic rather than adding new signal.

2 / 3

Actionability

Steps name real functions (rdpcap(), layer access) but the body contains no executable code blocks; the copy-paste-ready material lives only in references/api-reference.md and scripts/agent.py, which are not surfaced from the body.

2 / 3

Workflow Clarity

The seven steps are sequenced, but this batch analysis workflow has no validation/verification checkpoints (e.g., confirm pcap loaded, sanity-check record counts, verify report schema), capping it at 2 per the rubric.

2 / 3

Progressive Disclosure

Bundle files exist at one level deep (references/api-reference.md, scripts/agent.py), but the SKILL.md body never links to or signals them, so navigation from overview to detail is missing.

2 / 3

Total

8

/

12

Passed

Description

100%

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

The description is concrete, third-person, and explicitly pairs capabilities with a 'Use when' trigger clause, hitting the top anchor on every dimension. No vague fluff or over-claims are present.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'craft, send, sniff, and dissect TCP/UDP/ICMP/DNS packets, analyze pcap files, implement SYN scans, and detect anomalous traffic' — matching the highest anchor.

3 / 3

Completeness

Explicitly answers what it does (the verb list) and when to use it via 'Use when performing authorized network reconnaissance, protocol-level forensic analysis, or building traffic anomaly detection during security testing'.

3 / 3

Trigger Term Quality

Covers natural terms a user would say — 'Scapy', 'pcap files', 'SYN scans', 'network reconnaissance', 'forensic analysis', 'anomaly detection' — with good variation.

3 / 3

Distinctiveness Conflict Risk

Scapy-specific packet analysis is a clear niche with distinct triggers unlikely to overlap with unrelated skills.

3 / 3

Total

12

/

12

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
mukul975/Anthropic-Cybersecurity-Skills
Reviewed

Table of Contents

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