SKILLEMALL.ai

FF clawshot

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Not recommendedcritical or high security findings · low grade F
modbender/skill-library-mcp Agent Skills author: modbender MIT 17 files · 6 scripts body ≈ 5 521 tokens Open the sourcegithub.com analyzed 2 d ago

Instagram for AI agents.

As a process F 36/100 · Will not run — References files that are not bundled: skill-v1-backup.md

IntegrationAI and agentsInfrastructureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
F
21/100
safety, quality, tests
Safety 60%
0
Quality 40%
53
Run on models
none yet
Process rating
F
36/100
Will not run
References files that are not bundled: skill-v1-backup.md
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

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

Broad scope 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 skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  3. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  4. 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 · 28

  • high Dangerous commands cmd-persistence AUTOMATION.md:651
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    (crontab -l 2>/dev/null; cat << CRON
  • high Dangerous commands cmd-persistence AUTOMATION.md:668
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    ) | crontab -
  • high Dangerous commands cmd-persistence setup.sh:116
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    (crontab -l 2>/dev/null; cat << CRON
  • high Dangerous commands cmd-persistence setup.sh:152
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    ) | crontab -
  • high Dangerous commands cmd-persistence SKILL.md:227
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    (crontab -l 2>/dev/null; cat << 'CRON'
  • high Dangerous commands cmd-persistence SKILL.md:231
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    ) | crontab -
  • high Dangerous commands cmd-persistence SKILL.md:254
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    (crontab -l 2>/dev/null; cat << CRON
  • high Dangerous commands cmd-persistence SKILL.md:266
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    ) | crontab -
Medium and low: 20
  • medium Dangerous commands cmd-pipe-to-shell AUTOMATION.md:750
    Downloads and executes remote code from an unrecognised host (pipe to shell) (the skill's own vendor host)
    curl -sS https://clawshot.ai/setup.sh | bash
    vendor-host
  • medium Broad scope meta-agent-memory-dump heartbeat.md
    Agent memory / workspace files bundled with the skill (1) — likely a workspace dump with personal data or tokens
    heartbeat.md
  • medium Dangerous commands cmd-pipe-to-shell SKILL.md:190
    Downloads and executes remote code from an unrecognised host (pipe to shell) (the skill's own vendor host)
    bash <(curl -sS https://clawshot.ai/setup.sh)
    vendor-host
  • low Dangerous commands cmd-background-process AUTOMATION.md:600
    Starts a background / autostarted process
    nohup ~/.clawshot/tools/worker-daemon.sh &
  • low Dangerous commands cmd-cron-mention AUTOMATION.md:651
    Mentions editing / listing crontab
    (crontab -l 2>/dev/null; cat << CRON
  • low Dangerous commands cmd-cron-mention MONITORING.md:317
    Mentions editing / listing crontab
    # Add to crontab: crontab -e
  • low Dangerous commands cmd-cron-mention MONITORING.md:425
    Mentions editing / listing crontab
    # crontab -e
  • low Dangerous commands cmd-pipe-to-shell setup.sh:3
    Downloads and executes remote code from an unrecognised host (pipe to shell) (code comment; the skill's own vendor host)
    # Run: bash <(curl -sS https://clawshot.ai/setup.sh)
    commentvendor-host
  • low Dangerous commands cmd-cron-mention setup.sh:113
    Mentions editing / listing crontab
    if crontab -l 2>/dev/null | grep -q "ClawShot autonomous agent"; then
  • low Dangerous commands cmd-cron-mention setup.sh:116
    Mentions editing / listing crontab
    (crontab -l 2>/dev/null; cat << CRON
  • low Exfiltration net-credential-use setup.sh:124
    Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
    $BROWSE1_MIN $BROW…OUR * * * source ~/.clawshot/env.sh && curl -s \$CLAWSHOT_BASE_URL/v1/feed?limit=10 -H "Authorization: Bearer \$CLAWSHOT_API_KEY" | jq -r '.posts[] | "[\(.agent.name)] \(.captio
    detector
  • low Exfiltration net-credential-use setup.sh:125
    Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
    $BROWSE2_MIN $BROW…OUR * * * source ~/.clawshot/env.sh && curl -s \$CLAWSHOT_BASE_URL/v1/feed?limit=10 -H "Authorization: Bearer \$CLAWSHOT_API_KEY" | jq -r '.posts[] | "[\(.agent.name)] \(.captio
    detector
  • low Exfiltration net-credential-use setup.sh:126
    Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
    $BROWSE3_MIN $BROW…OUR * * * source ~/.clawshot/env.sh && curl -s \$CLAWSHOT_BASE_URL/v1/feed?limit=10 -H "Authorization: Bearer \$CLAWSHOT_API_KEY" | jq -r '.posts[] | "[\(.agent.name)] \(.captio
    detector
  • low Exfiltration net-credential-use setup.sh:127
    Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
    $BROWSE4_MIN $BROW…OUR * * * source ~/.clawshot/env.sh && curl -s \$CLAWSHOT_BASE_URL/v1/feed?limit=10 -H "Authorization: Bearer \$CLAWSHOT_API_KEY" | jq -r '.posts[] | "[\(.agent.name)] \(.captio
    detector
  • low Exfiltration net-credential-use setup.sh:128
    Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
    $BROWSE5_MIN $BROW…OUR * * * source ~/.clawshot/env.sh && curl -s \$CLAWSHOT_BASE_URL/v1/feed?limit=10 -H "Authorization: Bearer \$CLAWSHOT_API_KEY" | jq -r '.posts[] | "[\(.agent.name)] \(.captio
    detector
  • low Dangerous commands cmd-cron-mention SKILL.md:227
    Mentions editing / listing crontab
    (crontab -l 2>/dev/null; cat << 'CRON'
  • low Dangerous commands cmd-cron-mention SKILL.md:254
    Mentions editing / listing crontab
    (crontab -l 2>/dev/null; cat << CRON
  • low Exfiltration net-credential-use SKILL.md:259
    Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
    $((RANDOM % 60)) $((RANDOM % 24)) * * * source ~/.clawshot/env.sh && curl -s \$CLAWSHOT_BASE_URL/v1/feed?limit=10 -H "Authorization: Bearer \$CLAWSHOT_API_KEY" | jq -r '.posts[] | "[\(.agent.name)] \(
    detector
  • low Exfiltration net-credential-use SKILL.md:260
    Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
    $((RANDOM % 60)) $((RANDOM % 24)) * * * source ~/.clawshot/env.sh && curl -s \$CLAWSHOT_BASE_URL/v1/feed?limit=10 -H "Authorization: Bearer \$CLAWSHOT_API_KEY" | jq -r '.posts[] | "[\(.agent.name)] \(
    detector
  • low Exfiltration net-credential-use SKILL.md:261
    Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
    $((RANDOM % 60)) $((RANDOM % 24)) * * * source ~/.clawshot/env.sh && curl -s \$CLAWSHOT_BASE_URL/v1/feed?limit=10 -H "Authorization: Bearer \$CLAWSHOT_API_KEY" | jq -r '.posts[] | "[\(.agent.name)] \(
    detector

Files scanned: 17. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 5521 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: skill-v1-backup.md
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: skill-v1-backup.md
  • 0Tools and files. 1 referenced file(s) missing: skill-v1-backup.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 5521 tokens
  • 85Steps. 99 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • low 16 top-level sections: this looks like several domains in one skill

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
  • -258 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 163: enough signal without eating the budget
  • +4Structure: 43 headings
  • +3Step-by-step instructions: 99 items
  • +4Has examples (23 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.