SKILLEMALL.ai

DC forge-autonomous-agent-v1

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: Koppaka Naga Harsha v1.0.0 MIT-0 7 files body ≈ 168 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
D
40/100
safety, quality, tests
Safety 60%
67
Quality 40%
0
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
When it triggers w 12
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.

Dangerous commands 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 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.

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. Add a description to the frontmatter: without it the skill never triggers.
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 · 9

✓ No critical or high findings

Medium and low: 9
  • medium Dangerous commands cmd-pipe-to-shell-known-host prompts/setup.md:51
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -fsSL https://raw.githubusercontent.com/[USERNAME]/forge/main/install.sh | bash
  • medium Exfiltration exfil-webhook-url prompts/setup.md:272
    Webhook / callback URL commonly used for exfiltration (verify the destination) (quoted — discussed, not commanded)
    curl -s "https://api.telegram.org/bot[TOKEN]/sendMessage" \
    quoted
  • medium Exfiltration exfil-webhook-url prompts/setup.md:286
    Webhook / callback URL commonly used for exfiltration (verify the destination) (quoted — discussed, not commanded)
    curl -s "https://api.telegram.org/bot[TOKEN]/setMyCommands" \
    quoted
  • medium Dangerous commands cmd-shell-rc prompts/setup.md:473
    Writes to a shell startup file
    echo '[ -f ~/.forge/.env ] && source ~/.forge/.env' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc prompts/setup.md:475
    Writes to a shell startup file
    echo '[ -f ~/.forge/.env ] && source ~/.forge/.env' >> ~/.zshrc 2>/dev/null || true
  • medium Dangerous commands cmd-pipe-to-shell-known-host README.md:28
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -fsSL https://raw.githubusercontent.com/$FORGE_GITHUB_USER/forge/main/install.sh | bash
  • low Exfiltration read-dotenv prompts/setup.md:473
    Reads a .env file (detector / deny-list definition)
    echo '[ -f ~/.forge/.env ] && source ~/.forge/.env' >> ~/.bashrc
    detector
  • low Exfiltration read-dotenv prompts/setup.md:475
    Reads a .env file (detector / deny-list definition)
    echo '[ -f ~/.forge/.env ] && source ~/.forge/.env' >> ~/.zshrc 2>/dev/null || true
    detector
  • low Exfiltration read-dotenv prompts/system.md:26
    Reads a .env file
    source ~/.forge/.env

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 51/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 100Tools and files. No external tools needed
  • 100Steps. 4 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 168 tokens
  • 100Running it twice. No mutating operations

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 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 3 headings
  • +3Step-by-step instructions: 4 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: suspicious
FORGE is openly an autonomous developer, but it asks for broad credentials and persistent control that can keep acting and changing itself after setup.
LLM: suspicious (high) · VirusTotal: · 29 May 2026