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gdb-cli

GDB debugging assistant for AI agents - analyze core dumps, debug live processes, investigate crashes and deadlocks with source code correlation

57

Quality

66%

Does it follow best practices?

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SecuritybySnyk

Medium

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/gdb-cli/SKILL.md

The canonical home for this skill is gdb-cli in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

63%Scale 1-5

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

This is a solid, functional debugging skill with clear command syntax and a logical workflow. Its main weaknesses are moderate verbosity (unnecessary 'when to use/not use' sections, explanatory padding) and lack of bundle files to offload reference material like debugging patterns and examples. The actionability is strong with concrete gdb-cli commands throughout, though the source code correlation step could be more specific about which command to use.

Suggestions

Remove the 'When to Use' and 'Do Not Use' sections — Claude can infer applicability from context. This saves ~10 lines of tokens.

In Step 3, provide the specific gdb-cli command for viewing source code context rather than just saying 'Read source context: Get ±20 lines around the crash point'.

Move 'Common Debugging Patterns' and detailed examples into separate bundle files (e.g., PATTERNS.md, EXAMPLES.md) and reference them from the main skill to improve progressive disclosure.

Add a brief error handling note in Step 1 for common failures (e.g., missing debug symbols, GDB Python support not available) to improve workflow robustness.

DimensionReasoningScore

Conciseness

The skill has some unnecessary sections like 'When to Use' and 'Do Not Use' that explain obvious context Claude can infer. The 'How It Works' section is reasonably efficient but the 'Best Practices' and 'Security & Safety Notes' sections add padding. The 'Related Skills' section references skills that may not exist. Overall, it could be tightened by ~30%.

3 / 5

Actionability

Provides concrete, executable bash commands throughout with specific gdb-cli syntax. The common debugging patterns include specific commands to run. Minor gap: the source code correlation step (Step 3) mixes instruction with example but doesn't provide a concrete gdb-cli command for reading source context (it says 'Read source context' but doesn't show the command).

4 / 5

Workflow Clarity

Clear 5-step sequence from initialization through investigation to cleanup. Step 3 is explicitly marked as CRITICAL. However, there are no explicit validation checkpoints or error recovery steps — e.g., what to do if session creation fails, if the binary doesn't have debug symbols, or if GDB Python support check fails. Since this isn't a destructive/batch operation, the missing validation doesn't cap the score at 3.

4 / 5

Progressive Disclosure

No bundle files are provided, so all content is in a single file. The content is ~170 lines which is moderate — the common debugging patterns and examples sections could reasonably be split into separate reference files. The structure within the file is decent with clear headers, but the monolithic approach means everything competes for attention.

3 / 5

Total

14

/

20

Passed

Description

70%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.

The description is strong in specificity and distinctiveness, clearly identifying GDB as the tool and listing concrete debugging scenarios. However, it lacks an explicit 'Use when...' clause which would help Claude know exactly when to select this skill. The trigger terms are good but could include more user-facing synonyms like 'segfault' or 'stack trace'.

Suggestions

Add a 'Use when...' clause such as 'Use when the user mentions GDB, core dumps, segfaults, crashes, deadlocks, or needs to debug a running process'

Include additional trigger terms like 'segfault', 'segmentation fault', 'stack trace', 'backtrace', 'SIGSEGV' to capture more natural user language

DimensionReasoningScore

Specificity

Lists several specific actions: analyze core dumps, debug live processes, investigate crashes and deadlocks, source code correlation. These are concrete debugging activities, though could be slightly more comprehensive (e.g., breakpoints, watchpoints, stack traces).

4 / 5

Completeness

Has a clear 'what' (analyze core dumps, debug live processes, investigate crashes/deadlocks with source code correlation) but lacks an explicit 'when' clause. There's no 'Use when...' guidance for Claude to know when to select this skill.

3 / 5

Trigger Term Quality

Good coverage of natural terms: 'GDB', 'core dumps', 'debug', 'crashes', 'deadlocks', 'live processes'. Missing some variations like 'segfault', 'segmentation fault', 'backtrace', 'stack trace', or 'gdb' in lowercase explicitly.

4 / 5

Distinctiveness Conflict Risk

Very distinct niche - GDB debugging specifically for AI agents with core dumps, crashes, and deadlocks. Unlikely to conflict with other skills given the specific tool (GDB) and specific use cases mentioned.

5 / 5

Total

16

/

20

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

10

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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