SKILLEMALL.ai

FB session-handoff

Write a handoff document so a fresh session or another agent can pick up exactly where this one left off: goal, current state, decisions, next steps and the skills to load, referencing existing files instead of copying them, with secrets redacted before saving. Use whenever the user is ending a session, switching machines, running low on context, or asks for a handoff, a handoff doc, a 'pick up where we left off' summary, or to compact the conversation for next time. Saves to a location the user picks on first run (OS temp, home folder or per-project .handoff/) and can auto-load the latest handoff at the next session start.

The skillemall take

Promises to compact conversations into handoff documents for another agent, save to custom locations, and auto-load on next session start. In reality—blocked due to critical vulnerability: unprotected secrets found in the code. Quality scores 95, but process score sits at 70—not production-ready. Among 15 files and 7 scripts, 6 medium and low-severity issues flagged. Model never ran, sandbox untested.

Don't install. The concept works, but this skill is a security liability as-is. Needs a rewrite before it touches your projects.

Blockedguard blocked the skill: signs of malicious behaviour
alirezarezvani/claude-skills Claude Code author: alirezarezvani 15 files · 7 scripts body ≈ 2 202 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Write a handoff document so a fresh session or another agent can pick up exactly where this one left off: goal, current state, decisions, next steps and the…

As a process B 70/100 · Nearly there — weak spots: inputs and preconditions, running it twice

GeneratorAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
F
44/100
safety, quality, tests
Safety 60%
10
Quality 40%
95
Run on models
none yet
Process rating
B
70/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
Tools and files w 18
60
the three weakest of ten parameters · all ten
Guard blocked this skill: critical findings below. Do not install it until the author fixes them.

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.

Secrets in code
If you install

The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

How to improve

  1. Remove the critical guard findings (secrets, dangerous commands, hidden instructions): while they stand the skill is blocked and cannot grade above F.
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 · 7

  • critical Secrets in code secret-github-token scripts/redaction_linter.py:254
    GitHub token (quoted — discussed, not commanded)
    "Token: ghp_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n"
    quoted
Medium and low: 6
  • medium Secrets in code secret-private-key references/redaction_checklist.md:19
    Private key material (detector / deny-list definition; key header without key body; documentation table row)
    | Private key block | `-----BEGIN PRIVATE KEY----- …
    detectorheader onlytable
  • low Secrets in code secret-aws-key references/redaction_checklist.md:11
    AWS access key ID (placeholder value)
    | AWS access key | `AKIA…PLE` | high |
    placeholder
  • low Secrets in code secret-aws-key references/redaction_checklist.md:63
    AWS access key ID (placeholder value)
    Example key: AKIA…PLE <!-- handoff:allow secret -->
    placeholder
  • low Secrets in code secret-aws-key scripts/redaction_linter.py:253
    AWS access key ID (placeholder value)
    "API key: AKIA…PLE\n"
    placeholder
  • low Secrets in code secret-password-literal scripts/redaction_linter.py:255
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    "PASSWORD=hunt…ret\n"
    quoted
  • low Secrets in code secret-aws-key scripts/redaction_linter.py:258
    AWS access key ID (placeholder value)
    "Allowed: AKIA…PLE <!-- handoff:allow secret -->\n"
    placeholder

Files scanned: 15. 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 70/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 6 mutating operations with no state check
  • 60Tools and files. Uses tools (read) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 29 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2202 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 15 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)
  • +2Single-language instructions
  • +3Description length 631: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 29 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +3All 7 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.