Agent skill · Audited from source
Call Graph Similarity Analysis Using Graph Edit Distance
skill · ECNU-ICALK/AutoSkillLicence not declaredAudited 14 Oct 2026 · source 04e912cff54b
Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 04e912cff54b and found no filesystem, network or shell access and no hard-coded secrets. What it does: Converts provided source code snippets into call graphs and calculates their similarity score using the Graph Edit Distance (GED) algorithm.
Cite
Cite this page
ModelsAtlas. “Call Graph Similarity Analysis Using Graph Edit Distance (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/call-graph-similarity-analysis-using-graph-edit-distance
Trust audit
Audit 0.4.1 · source read 14 Oct 2026
SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.
What the source does
- FilesystemNone observedNo reads or writes in the source
- NetworkNone observedNo outbound calls in the source
- ShellNone observedNo commands run in the source
- DependenciesPinnedNothing floats
- SecretsNone foundNo keys in source
Five audit layers
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | PASS | 0 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | NA | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
Gates applied: no behavioural pass.
Findings (0)
No findings at any severity. We re-audit when the source changes.
Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan
Provenance
Who published it, and what the verdict is pinned to
- PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
- Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/call-graph-similarity-analysis-using-graph-edit-distanceThe exact folder we audited
- LicenceNot declaredAs the repository states it
- Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
- Repository statusNot archivedLast push 157 days ago
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
What it tells the agent
Full source on GitHub ↗Its description: Converts provided source code snippets into call graphs and calculates their similarity score using the Graph Edit Distance (GED) algorithm.
--- id: "42b54b29-c111-4e6f-a4c9-14e550efb69f" name: "Call Graph Similarity Analysis using Graph Edit Distance" description: "Converts provided source code snippets into call graphs and calculates their similarity score using the Graph Edit Distance (GED) algorithm." version: "0.1.0" tags: - "call graph" - "graph edit distance" - "source code" - "similarity" - "code analysis" triggers: - "convert source code to call graphs and calculate similarity" - "apply graph edit distance to call graphs" - "measure similarity score of two source codes using graph edit distance" --- # Call Graph Similarity Analysis using Graph Edit Distance Converts provided source code snippets into call graphs and calculates their similarity score using the Graph Edit Distance (GED) algorithm. ## Prompt # Role & Objective You are a code analysis expert. Your task is to take two source code snippets, convert them into call graphs, and calculate the similarity score between these graphs using the Graph Edit Distance (GED) method. # Operational Rules & Constraints 1. Parse the provided source code to identify functions and their calls. 2. Construct a directed call graph for each source code snippet. 3. Apply the Graph Edit Distance (GED) algorithm to measure the similarity between the two generated call graphs. 4. Report the calculated distance value, explaining that it represents the minimum number of edit operations (insertions, deletions, substitutions) required to transform one graph into the other. # Anti-Patterns Do not use Jaccard similarity or other coefficients unless explicitly requested. Do not analyze images directly if source code is provided. ## Triggers - convert source code to call graphs and calculate similarity - apply graph edit distance to call graphs - measure similarity score of two source codes using graph edit distance
Excerpt, first 1,867 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.
Install
Pinned to the audited commit 04e912c
git clone https://github.com/ECNU-ICALK/AutoSkill git -C AutoSkill checkout 04e912cff54b
The author documents no install command, so this uses the repository directly. Our verdict covers commit 04e912cff54b only.
Works in
The author has not said which agents this skill supports, and we have not tested it in any.
Audit history
Every audit, every source change
- ✓SAFE B 89 / 100
first audit · source
04e912cff54b
Similar skills
ECNU-ICALK/AutoSkill
Executes a 1-back test by comparing the current input to the immediately preceding input in a sequence, reporting the prior item and a match indicator.
ECNU-ICALK/AutoSkill
Identifies the critical 20% of a given topic that yields 80% of the results and creates a focused learning plan to master it.
ECNU-ICALK/AutoSkill
Act as a friendly English teacher for A1 students. Correct errors briefly, ask clarifying questions to maintain dialogue, and strictly limit responses to 100 words.
ECNU-ICALK/AutoSkill
运用理性情绪疗法ABC模型,按客观事实→情绪反应→自动想法→合理/不合理区分四步顺序,引导来访者辨析创伤相关歪曲信念,并通过挑战式提问促发认知重评。
ECNU-ICALK/AutoSkill
Generates academic content components (introductions, conclusions, titles, topics) and full expository essays. Includes specialized capabilities for refining research paper titles with specific constraints, emphasis,…
ECNU-ICALK/AutoSkill
Draft or improve emails to professors using simple vocabulary, friendly tone, and straightforward grammar.
Questions about Call Graph Similarity Analysis Using Graph Edit Distance
What does the Call Graph Similarity Analysis Using Graph Edit Distance skill do?
Is Call Graph Similarity Analysis Using Graph Edit Distance safe to install?
What can Call Graph Similarity Analysis Using Graph Edit Distance access on my machine?
How current is this page?
Sources
- github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/ConvSkill/en — the audited source at commit 04e912cff54b and every finding aboveObserved · 14 Oct 2026
Spotted something wrong? Report a correction · Methodology
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- What does the Call Graph Similarity Analysis Using Graph Edit Distance skill do?
- Is Call Graph Similarity Analysis Using Graph Edit Distance safe to install?
- What can Call Graph Similarity Analysis Using Graph Edit Distance access on my machine?