FD investmenttracker-platform
(no description)
As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
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 If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail.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.
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
- Add a description to the frontmatter: without it the skill never triggers.
- 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 · 19
✓ No critical or high findings
Medium and low: 19
-
medium Secrets in code
secret-labelled-tokenfinal_skill.py:18Labelled token / key literal (vendor format unknown — verify it is not a live credential)self.api_key = "it_l…Pes"
-
medium Secrets in code
secret-labelled-tokenMCP_FIX_PLAN.md:101Labelled token / key literal (vendor format unknown — verify it is not a live credential)auth_token="it_l…Pes"
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medium Secrets in code
secret-labelled-tokenMCP_FIX_PLAN.md:285Labelled token / key literal (vendor format unknown — verify it is not a live credential)auth_token="it_l…Pes"
-
medium Secrets in code
secret-labelled-tokenupdated_mcp_client.py:16Labelled token / key literal (vendor format unknown — verify it is not a live credential)self.api_key = "it_l…Pes"
-
medium Secrets in code
secret-labelled-tokenworking_skill.py:53Labelled token / key literal (vendor format unknown — verify it is not a live credential)self.auth_token = "it_l…Pes"
-
low Secrets in code
secret-labelled-tokenDEPLOYMENT_GUIDE.md:138Labelled token / key literal (vendor format unknown — verify it is not a live credential) (quoted — discussed, not commanded)-H 'X-API-Key: it_l…Pes' \
quoted -
low Secrets in code
secret-password-literalDEPLOYMENT_GUIDE.md:138Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)-H 'X-API-Key: it_l…Pes' \
quoted -
low Secrets in code
secret-labelled-tokendetailed_report.py:14Labelled token / key literal (vendor format unknown — verify it is not a live credential) (placeholder value)AUTH_TOKEN = 'it_l…Pes'
placeholder -
low Secrets in code
secret-high-entropy-tokenexamples/transactions.md:89High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)"wallet_address": "0x74…FDB",
fixturequoted -
low Secrets in code
secret-password-literalfinal_skill.py:18Hard-coded password / key literal (may be an example)self.api_key = "it_l…Pes"
-
low Secrets in code
secret-labelled-tokenget_positions.py:13Labelled token / key literal (vendor format unknown — verify it is not a live credential) (placeholder value)AUTH_TOKEN = 'it_l…Pes'
placeholder -
low Secrets in code
secret-labelled-tokenmcp_api_issue_analysis.md:36Labelled token / key literal (vendor format unknown — verify it is not a live credential) (quoted — discussed, not commanded)-H 'X-API-Key: it_l…Pes'
quoted -
low Secrets in code
secret-password-literalmcp_api_issue_analysis.md:36Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)-H 'X-API-Key: it_l…Pes'
quoted -
low Secrets in code
secret-labelled-tokenmcp_api_test_commands.sh:10Labelled token / key literal (vendor format unknown — verify it is not a live credential) (test fixture / example file)API_KEY="it_l…Pes"
fixture -
low Secrets in code
secret-password-literalmcp_api_test_commands.sh:10Hard-coded password / key literal (may be an example) (test fixture / example file)API_KEY="it_l…Pes"
fixture -
low Secrets in code
secret-labelled-tokentest_mcp_protocol.py:113Labelled token / key literal (vendor format unknown — verify it is not a live credential) (test fixture / example file; quoted — discussed, not commanded)auth_token="it_l…Pes"
fixturequoted -
low Secrets in code
secret-labelled-tokentest_mcp_sse.py:226Labelled token / key literal (vendor format unknown — verify it is not a live credential) (test fixture / example file; quoted — discussed, not commanded)auth_token="it_l…Pes"
fixturequoted -
low Secrets in code
secret-labelled-tokentest_updated_api.py:151Labelled token / key literal (vendor format unknown — verify it is not a live credential) (test fixture / example file; quoted — discussed, not commanded)auth_token="it_l…Pes"
fixturequoted -
low Secrets in code
secret-password-literalupdated_mcp_client.py:16Hard-coded password / key literal (may be an example)self.api_key = "it_l…Pes"
Files scanned: 48. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
frontmatterSKILL.md: no YAML frontmatter block found - error
name-missingSKILL.md: frontmatter has no `name` - error
description-missingSKILL.md: no `description` — the skill can never trigger
Process rating: all ten parameters 44/100
- 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
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 100Steps. 76 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1645 tokens
- 100Running it twice. No mutating operations
- low 19 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)
- +3Description length 0: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -230 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 46 headings
- +3Step-by-step instructions: 76 items
- +4Has examples (11 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.