SKILLEMALL.ai

BF seerr

Search for movies and TV shows via a Seerr instance and request them for download. Use when the user asks to download, find, request, or queue a movie or TV show. Requires a running Seerr instance with Sonarr/Radarr configured.

ClawHub Agent Skills author: ximga v1.5.0 2 files body ≈ 894 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 48/100 · Will not run — References files that are not bundled: $SEERR_URL/<mediaType>/<tmdbId>

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
75/100
safety, quality, tests
Safety 60%
75
Quality 40%
75
Run on models
none yet
Process rating
F
48/100
Will not run
References files that are not bundled: $SEERR_URL/<mediaType>/<tmdbId>
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • medium Exfiltration net-credential-use SKILL.md:29
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "X-Api-Key: $SEERR_API_KEY" \
  • medium Exfiltration net-credential-use SKILL.md:46
    Credential used in a network call (verify the destination is the intended service)
    curl -s -X POST -H "X-Api-Key: $SEERR_API_KEY" -H "Content-Type: application/json" \
  • medium Exfiltration net-credential-use SKILL.md:55
    Credential used in a network call (verify the destination is the intended service)
    curl -s -X POST -H "X-Api-Key: $SEERR_API_KEY" -H "Content-Type: application/json" \
  • medium Exfiltration net-credential-use SKILL.md:62
    Credential used in a network call (verify the destination is the intended service)
    curl -s -X POST -H "X-Api-Key: $SEERR_API_KEY" -H "Content-Type: application/json" \
  • medium Exfiltration net-credential-use SKILL.md:71
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "X-Api-Key: $SEERR_API_KEY" "$SEERR_URL/api/v1/movie/TMDB_ID"

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: $SEERR_URL/<mediaType>/<tmdbId>
  • note frontmatter-key unknown frontmatter key "env"

Process rating: all ten parameters 48/100

Will not run. References files that are not bundled: $SEERR_URL/<mediaType>/<tmdbId>
  • 0Tools and files. 1 referenced file(s) missing: $SEERR_URL/<mediaType>/<tmdbId>
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 6 mutating operations with no state check
  • 60Failures and branches. 2 branches
  • 100Steps. 24 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 894 tokens

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)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 227: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
The skill is mostly coherent for Seerr media requests, but it can automatically queue unavailable movies or shows without a clear confirmation step.
LLM: suspicious (high) · VirusTotal: · 29 May 2026