SKILLEMALL.ai

AC chatgpt-exporter

Export all your ChatGPT conversations instantly — full context, timestamps, and metadata in seconds. Built for the TinkerClaw fork — github.com/globalcaos/tinkerclaw. Invoke it BY NAME — "chatgpt-exporter-ultimate: export my conversations" — so ordinary talk about ChatGPT cannot trigger it. Rides the ChatGPT session your browser already holds — browser relay or a bookmarklet you paste yourself. It reads NO access token, no cookie jar and no credential file. It enumerates your conversations — including ones inside Projects, found by running searches against your history — and writes JSON and Markdown copies to a private directory. Defaults to index-only (titles and timestamps, no message text); full content needs an explicit confirmation. Destinations are resolved through symlinks before anything is written, so an export cannot land in a synced folder or a git repo. A validated --purge deletes an export again. Off switch documented in the skill.

ClawHub Agent Skills author: Oscar Serra v1.9.1 MIT-0 9 files · 3 scripts body ≈ 3 861 tokens Open the sourceclawhub.ai analyzed 3 d ago

Export all your ChatGPT conversations instantly — full context, timestamps, and metadata in seconds.

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

AnalyzerGitHubInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
97
Quality 40%
84
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Risky intent intent-offensive-security SKILL.md:13
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      scope: "grep/sed for parsing; realpath/readlink to canonicalize a destination or a purge target; and coreutils (date, du, tr, cut, head, wc, chmod, mkdir, rm). scripts/export.sh makes NO network calls
      detector
    • low Risky intent intent-offensive-security SKILL.md:62
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      NO privilege escalation, NO credential files read, NO third-party endpoints, NO telemetry.
    • low Risky intent intent-offensive-security SKILL.md:210
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | Privilege escalation | **None.** No `sudo`, no writes outside the output directory | — |

    Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 53/100

    • 0Result and completion. Does not say what the result is
    • 0Failures and branches. Linear process with no failure handling
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 24 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 19 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3861 tokens
    • 100Progress reporting. Reports progress
    • high The skill tells the model to perform an irreversible action with no human approval
    • low The response is described with custom markup (6 tags): a typed call is more reliable

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 958: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 19 items
    • +4Has examples (4 code blocks)
    • +3All 6 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    The skill is a disclosed ChatGPT conversation exporter, but its relay exporter can still write sensitive exports through pre-existing child symlinks despite stronger safety claims.
    LLM: suspicious (high) · 9 Sept 2026